Tearsheet

Datadog (DDOG)

Market Price (5/12/2026): $201.57 | Market Cap: $71.2 Bil
Sector: Information Technology | Industry: Application Software

Datadog (DDOG)

Market Price (5/12/2026): $201.57
Market Cap: $71.2 Bil
Sector: Information Technology
Industry: Application Software

Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.

Strong revenue growth
Rev Chg LTMRevenue Change % Last Twelve Months (LTM) is 30%

Attractive cash flow generation
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 30%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 26%

Megatrend and thematic drivers
Megatrends include Cloud Computing, Cybersecurity, and Artificial Intelligence. Themes include Software as a Service (SaaS), Show more.

Trading close to highs
Dist 52W High is 0.0%, Dist 3Y High is 0.0%

Not profitable at operating income level
Op Inc LTMOperating Income, Last Twelve Months is -25 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -0.7%

Expensive valuation multiples
P/EBITPrice/EBIT or Price/(Operating Income) ratio is 430x, P/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 64x, P/EPrice/Earnings or Price/(Net Income) is 527x

Significant share based compensation
SBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 21%

Yield minus risk free rate is negative
ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -4.1%

Key risks
DDOG key risks include [1] intense competition from hyperscale cloud providers offering native monitoring tools, Show more.

0	Strong revenue growth Rev Chg LTMRevenue Change % Last Twelve Months (LTM) is 30%
1	Attractive cash flow generation CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 30%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 26%
2	Megatrend and thematic drivers Megatrends include Cloud Computing, Cybersecurity, and Artificial Intelligence. Themes include Software as a Service (SaaS), Show more.
3	Trading close to highs Dist 52W High is 0.0%, Dist 3Y High is 0.0%
4	Not profitable at operating income level Op Inc LTMOperating Income, Last Twelve Months is -25 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -0.7%
5	Expensive valuation multiples P/EBITPrice/EBIT or Price/(Operating Income) ratio is 430x, P/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 64x, P/EPrice/Earnings or Price/(Net Income) is 527x
6	Significant share based compensation SBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 21%
7	Yield minus risk free rate is negative ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -4.1%
8	Key risks DDOG key risks include [1] intense competition from hyperscale cloud providers offering native monitoring tools, Show more.

Valuation, Metrics & Events

	5/12/26	2025	2024	2023	2022
Share Price CYE	$201.57	$135.99	$142.89	$121.38	$73.50
Market Cap CYE ($ Bil)	71.2	47.8	48.6	39.9	23.3
Total Debt ($ Bil)	1.3	1.3	1.8	0.9	0.8
Total Cash ($ Bil)	4.8	4.5	4.2	2.6	1.9
Enterprise Value ($ Bil)	67.7	49.1	50.4	40.8	24.1
Valuation Ratios
P/S TTM	19.4	13.9	18.1	18.8	13.9
P/EBIT TTM	428.6	345.9	230.5	600.1	-1,175.0
P/E TTM	524.9	443.3	264.7	822.1	-465.1
P/FCF TTM	74.2	52.2	62.7	66.8	66.0
Sector Ratios
P/S TTM (Sector)	4.0	3.9	3.9	3.3	2.9
P/EBIT TTM (Sector)	8.1	9.7	7.1	1.1	-0.0
P/E TTM (Sector)	8.4	10.0	1.1	-0.1	-0.1
P/FCF TTM (Sector)	13.2	14.6	16.5	16.3	11.7

	5/12/26	2025	2024
Share Price CYE	$201.57	$135.99	$142.89
Market Cap CYE ($ Bil)	71.2	47.8	48.6
Total Debt ($ Bil)	1.3	1.3	1.8
Total Cash ($ Bil)	4.8	4.5	4.2
Enterprise Value ($ Bil)	67.7	49.1	50.4
Valuation Ratios
P/S TTM	19.4	13.9	18.1
P/EBIT TTM	428.6	345.9	230.5
P/E TTM	524.9	443.3	264.7
P/FCF TTM	74.2	52.2	62.7
Sector Ratios
P/S TTM (Sector)	4.0	3.9	3.9
P/EBIT TTM (Sector)	8.1	9.7	7.1
P/E TTM (Sector)	8.4	10.0	1.1
P/FCF TTM (Sector)	13.2	14.6	16.5

	DDOG	S&P 500
REVENUE GROWTH	VERY GOOD
Rev LTM ($ Bil)	3.7
Rev Chg Q	32.2%	8.7%
Rev Chg LTM	29.5%	7.4%
Rev Chg 3Y Avg	27.0%	5.8%
PROFITABILITY	POOR
Op Inc LTM ($ Bil)	-0.0
CFO LTM ($ Bil)	1.1
Net Inc LTM ($ Bil)	0.1
Op Mgn LTM	-0.7%	18.4%
CFO/Rev LTM	30.3%	21.0%
Net Inc Mgn	3.7%	13.0%
VALUATION	VERY HIGH
P/S	19.4	3.2
P/CFO	64.0	15.0
P/FCF	74.2	19.5
P/E	524.9	23.7
STABILITY	VERY GOOD
Debt/Equity	0.02	0.22
Cash/Assets	0.68	0.07

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Metric	Value	Date	Source
Total Number of Customers	about 31,400	6302025	Link
Customers with ARR of $100,000 or more	about 3,850	6302025	Link
Dollar-Based Net Retention Rate	about 120%	6302025	Link
Percentage of Customers Using 2 or More Products	83%	6302025	Link
Percentage of Customers Using 4 or More Products	52%	6302025	Link
Percentage of Customers Using 6 or More Products	29%	6302025	Link
Number of Integrations	1000	10092025	Link

Upcoming
8/06/2026	Earnings Release	Rev: $1.0 Bil (E) EPS: $0.57 (E)

Price Chart

Return (1M):

Why The Stock Moved

Qualitative Assessment

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Datadog (DDOG) stock has gained about 55% since 1/31/2026 because of the following key factors:

1. Datadog's first-quarter 2026 financial results significantly surpassed expectations and led to raised full-year guidance.

Datadog reported Q1 2026 revenue of $1.006 billion, a 32% year-over-year increase, beating analyst estimates by 5.18%. Non-GAAP earnings per share (EPS) reached $0.60, exceeding the consensus estimate by 20%. Following this strong performance, the company raised its full-year 2026 EPS guidance to $2.36-$2.44 and its Q2 guidance to $0.57-$0.59. This earnings beat and optimistic outlook caused the stock to surge 31.33% in pre-market trading on May 7, 2026.

2. The company delivered robust fourth-quarter 2025 financial results, setting a positive tone for the year.

In February 2026, Datadog announced Q4 2025 revenue of $953 million, marking a 29% year-over-year increase, and reported a non-GAAP EPS of $0.59, surpassing analyst expectations of $0.55. These strong results, released early in the specified period, contributed to sustained investor confidence.

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Stock Movement Drivers

Fundamental Drivers

The 56.4% change in DDOG stock from 1/31/2026 to 5/11/2026 was primarily driven by a 24.8% change in the company's P/E Multiple.

(LTM values as of)	1312026	5112026	Change
Stock Price ($)	129.32	202.32	56.4%
Change Contribution By:
Total Revenues ($ Mil)	3,212	3,672	14.3%
Net Income Margin (%)	3.3%	3.7%	11.1%
P/E Multiple	422.3	526.8	24.8%
Shares Outstanding (Mil)	349	353	-1.3%
Cumulative Contribution			56.4%

LTM = Last Twelve Months as of date shown

Market Drivers

1/31/2026 to 5/11/2026

	Return	Correlation
DDOG	56.4%
Market (SPY)	3.6%	35.4%
Sector (XLK)	23.8%	29.1%

Fundamental Drivers

The 24.3% change in DDOG stock from 10/31/2025 to 5/11/2026 was primarily driven by a 21.7% change in the company's Total Revenues ($ Mil).

(LTM values as of)	10312025	5112026	Change
Stock Price ($)	162.81	202.32	24.3%
Change Contribution By:
Total Revenues ($ Mil)	3,016	3,672	21.7%
Net Income Margin (%)	4.1%	3.7%	-10.6%
P/E Multiple	452.4	526.8	16.4%
Shares Outstanding (Mil)	346	353	-2.0%
Cumulative Contribution			24.3%

LTM = Last Twelve Months as of date shown

Market Drivers

10/31/2025 to 5/11/2026

	Return	Correlation
DDOG	24.3%
Market (SPY)	5.5%	27.7%
Sector (XLK)	18.6%	28.8%

Fundamental Drivers

The 98.0% change in DDOG stock from 4/30/2025 to 5/11/2026 was primarily driven by a 178.4% change in the company's P/E Multiple.

(LTM values as of)	4302025	5112026	Change
Stock Price ($)	102.16	202.32	98.0%
Change Contribution By:
Total Revenues ($ Mil)	2,684	3,672	36.8%
Net Income Margin (%)	6.8%	3.7%	-46.0%
P/E Multiple	189.2	526.8	178.4%
Shares Outstanding (Mil)	340	353	-3.7%
Cumulative Contribution			98.0%

LTM = Last Twelve Months as of date shown

Market Drivers

4/30/2025 to 5/11/2026

	Return	Correlation
DDOG	98.0%
Market (SPY)	30.4%	29.8%
Sector (XLK)	70.4%	31.7%

Fundamental Drivers

The 200.3% change in DDOG stock from 4/30/2023 to 5/11/2026 was primarily driven by a 119.2% change in the company's Total Revenues ($ Mil).

(LTM values as of)	4302023	5112026	Change
Stock Price ($)	67.38	202.32	200.3%
Change Contribution By:
Total Revenues ($ Mil)	1,675	3,672	119.2%
P/S Multiple	12.8	19.5	52.5%
Shares Outstanding (Mil)	317	353	-10.2%
Cumulative Contribution			200.3%

LTM = Last Twelve Months as of date shown

Market Drivers

4/30/2023 to 5/11/2026

	Return	Correlation
DDOG	200.3%
Market (SPY)	78.7%	41.7%
Sector (XLK)	140.8%	43.1%

Return vs. Risk

Price Returns Compared

	2021	2022	2023	2024	2025	2026	Total [1]
Returns
DDOG Return	81%	-59%	65%	18%	-5%	47%	103%
Peers Return	12%	-48%	85%	10%	1%	-19%	-4%
S&P 500 Return	27%	-19%	24%	23%	16%	8%	97%
Monthly Win Rates [3]
DDOG Win Rate	75%	25%	58%	50%	50%	60%
Peers Win Rate	55%	32%	65%	55%	43%	32%
S&P 500 Win Rate	75%	42%	67%	75%	67%	60%
Max Drawdowns [4]
DDOG Max Drawdown	-28%	-62%	-15%	-14%	-39%	-25%
Peers Max Drawdown	-21%	-55%	-9%	-27%	-22%	-37%
S&P 500 Max Drawdown	-1%	-25%	-1%	-2%	-15%	-7%

[1] Cumulative total returns since the beginning of 2021
[2] Peers: DT, ESTC, NOW, SNOW, CRWD. See DDOG Returns vs. Peers.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 5/11/2026 (YTD)

Event	DDOG	S&P 500
2025 US Tariff Shock
% Loss	-32.5%	-18.8%
% Gain to Breakeven	48.1%	23.1%
Time to Breakeven	71 days	79 days
2024 Yen Carry Trade Unwind
% Loss	-16.9%	-7.8%
% Gain to Breakeven	20.3%	8.5%
Time to Breakeven	66 days	18 days
Summer-Fall 2023 Five Percent Yield Shock
% Loss	-31.3%	-9.5%
% Gain to Breakeven	45.5%	10.5%
Time to Breakeven	27 days	24 days
2023 SVB Regional Banking Crisis
% Loss	-23.8%	-6.7%
% Gain to Breakeven	31.2%	7.1%
Time to Breakeven	15 days	31 days
2022 Inflation Shock & Fed Tightening
% Loss	-53.8%	-24.5%
% Gain to Breakeven	116.4%	32.4%
Time to Breakeven	782 days	427 days
2020 COVID-19 Crash
% Loss	-38.8%	-33.7%
% Gain to Breakeven	63.3%	50.9%
Time to Breakeven	52 days	140 days

Compare to DT, ESTC, NOW, SNOW, CRWD

In The Past

Datadog's stock fell -32.5% during the 2025 US Tariff Shock. Such a loss loss requires a 48.1% gain to breakeven.

Preserve Wealth

Limiting losses and compounding gains is essential to preserving wealth.

Asset Allocation

Actively managed asset allocation strategies protect wealth. Learn more.

Event	DDOG	S&P 500
2025 US Tariff Shock
% Loss	-32.5%	-18.8%
% Gain to Breakeven	48.1%	23.1%
Time to Breakeven	71 days	79 days
Summer-Fall 2023 Five Percent Yield Shock
% Loss	-31.3%	-9.5%
% Gain to Breakeven	45.5%	10.5%
Time to Breakeven	27 days	24 days
2023 SVB Regional Banking Crisis
% Loss	-23.8%	-6.7%
% Gain to Breakeven	31.2%	7.1%
Time to Breakeven	15 days	31 days
2022 Inflation Shock & Fed Tightening
% Loss	-53.8%	-24.5%
% Gain to Breakeven	116.4%	32.4%
Time to Breakeven	782 days	427 days
2020 COVID-19 Crash
% Loss	-38.8%	-33.7%
% Gain to Breakeven	63.3%	50.9%
Time to Breakeven	52 days	140 days

Compare to DT, ESTC, NOW, SNOW, CRWD

In The Past

Datadog's stock fell -32.5% during the 2025 US Tariff Shock. Such a loss loss requires a 48.1% gain to breakeven.

Preserve Wealth

Limiting losses and compounding gains is essential to preserving wealth.

Asset Allocation

Actively managed asset allocation strategies protect wealth. Learn more.

About Datadog (DDOG)

Business Description Analogies Products Customers Suppliers Management Key Risks Emerging Threats Market Size Revenue Drivers Capital Allocation

Datadog, Inc. provides monitoring and analytics platform for developers, information technology operations teams, and business users in the cloud in North America and internationally. The company's SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, and security monitoring to provide real-time observability of its customers technology stack. Its platform also provides user experience monitoring, network performance monitoring, cloud security, developer-focused observability, and incident management, as well as a range of shared features, such as dashboards, analytics, collaboration tools, and alerting capabilities. The company was incorporated in 2010 and is headquartered in New York, New York.

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Here are 1-2 brief analogies for Datadog:

Datadog is like Splunk for monitoring the performance and health of a company's entire software and infrastructure stack.
Datadog is like a Bloomberg Terminal for IT operations, providing real-time data and analytics on software performance, logs, and security.

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Infrastructure Monitoring: Provides real-time visibility into the performance and health of IT infrastructure components.
Application Performance Monitoring (APM): Offers tools to monitor and troubleshoot the performance of applications and services.
Log Management: Collects, processes, and analyzes log data from various sources for insights and troubleshooting.
Security Monitoring: Detects and helps respond to security threats across the technology stack.
User Experience Monitoring: Tracks and analyzes user interactions and experiences with applications and websites.
Network Performance Monitoring: Monitors and optimizes the performance of network infrastructure.
Cloud Security: Provides security capabilities specifically designed for cloud environments.
Developer-Focused Observability: Offers tools and insights tailored for developers to understand their code and systems.
Incident Management: Helps teams manage and resolve operational incidents efficiently.

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Datadog (symbol: DDOG) primarily sells its monitoring and analytics platform to other companies, rather than individuals. Its customer base consists of a wide range of businesses across various industries, from startups to large enterprises, that require real-time observability of their technology stacks.

While Datadog serves thousands of customers globally, some examples of well-known public companies that have publicly utilized or been highlighted as customers of Datadog's platform include:

DoorDash (DASH)
Peloton Interactive (PTON)
S&P Global (SPGI)

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Amazon.com, Inc. (AMZN)
Alphabet Inc. (GOOGL)

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Olivier Pomel, Chief Executive Officer

Olivier Pomel co-founded Datadog in 2010 and has served as CEO since its inception. Before founding Datadog, he was the VP, Technology for Wireless Generation, where he developed data systems for K-12 teachers and expanded the development team until the company's acquisition by News Corp. He previously held software engineering roles at IBM Research and various internet startups. Pomel is an original author of the VLC media player.

David Obstler, Chief Financial Officer

David Obstler joined Datadog as Chief Financial Officer in November 2018, bringing over three decades of operational finance experience, with more than 20 years focused on technology companies. Prior to Datadog, he served as CFO of TravelClick, leading global financial operations. His extensive background includes CFO positions at OpenLink Financial, MSCI Inc., Risk Metrics Group, and Pinnacor. Obstler also held investment banking roles at JPMorgan, Lehman Brothers, and Goldman Sachs. He was appointed to the board of Braze in 2021.

Alexis Lê-Quôc, Chief Technology Officer & Co-founder

Alexis Lê-Quôc co-founded Datadog in 2010 alongside Olivier Pomel. Before Datadog, he was the Director of Operations for Wireless Generation, where he established the team and infrastructure. His professional experience also includes roles at France Telecom R&D and IBM.

Adam Blitzer, Chief Operating Officer

Adam Blitzer's background includes significant roles at Salesforce and Pardot, where he developed expertise in marketing automation and cloud services.

Yanbing Li, Chief Product Officer

Prior to joining Datadog, Yanbing Li served as the Senior Vice President of Engineering at Aurora. Before that, she was the Vice President of Product and Engineering at Google, overseeing Google Cloud Commerce, Cloud Operations, and Service Infrastructure. Li also held multiple executive leadership positions at VMware, including Senior Vice President and General Manager for the Storage and Availability Business Unit.

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Here are the key risks to Datadog's business, listed from most significant to less significant:

Intense Competition and the Need for Continuous Innovation: Datadog operates in highly competitive markets with numerous established players and new entrants vying for market share. To maintain its competitive position, Datadog must continuously innovate and offer superior products and services. Failure to do so could result in lost customers and reduced market share, negatively impacting the company's business and financial outcomes.
Cybersecurity Risks: As a provider of cloud-based services, Datadog faces significant cybersecurity threats. Any security breach or incident could severely damage the company's reputation, reduce demand for its products, and lead to substantial legal liabilities. A past incident involving unauthorized access to Datadog's source code repositories highlights these ongoing risks.
Challenges in Sustaining Profitability and Managing Operational Scale: Despite robust revenue growth, Datadog has a history of operating losses and may struggle to sustain profitability in the future. Rapid expansion can strain operational capabilities, making it difficult for the company to forecast future results and efficiently manage its growing operations while maintaining service quality and innovation.

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The increasing maturity and widespread adoption of open-source observability standards and platforms, particularly **OpenTelemetry**, could pose a clear emerging threat. By standardizing the collection of telemetry data (traces, metrics, logs) across various environments and applications, OpenTelemetry reduces vendor lock-in and allows organizations greater flexibility. This could enable companies to build robust observability stacks using open-source components (e.g., Prometheus for metrics, Grafana for visualization, Loki for logs, Tempo for traces) or to more easily switch between commercial vendors, thereby exerting downward pressure on pricing and reducing the unique value proposition of all-in-one commercial platforms like Datadog.

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Datadog (DDOG) Addressable Market Sizes

Datadog operates within several significant and expanding addressable markets globally. The company's total addressable market (TAM) is projected to reach substantial figures in the coming years, driven by the increasing need for observability, monitoring, and security solutions in complex cloud environments.

Total Addressable Market (TAM): Datadog's total addressable market, including security, application development, and analytics, is estimated to reach approximately $187 billion by 2029 or 2034. Another estimate places the TAM at $175 billion by 2034, growing at a compound annual growth rate (CAGR) of 17.5%. Current estimates from 2025 place Datadog's TAM at $79 billion, with projections reaching $175 billion by 2034. The cloud observability sector TAM was estimated at US$51 billion as of 2023, with a CAGR of 11% over 2023-2027.
Observability Platform Market: The global observability platform market was valued at USD 4.1 billion in 2024 and is predicted to grow to about USD 18.1 billion by 2034, at a CAGR of 16%. Other estimates place the global market at USD 3.2 billion in 2024, projected to grow to USD 8.19 billion by 2033 at an 11.0% CAGR, or USD 2.71 billion in 2023, projected to reach USD 5.40 billion by 2030 at a 10.7% CAGR. North America held a dominant market position, capturing more than a 37.9% share in 2024, and leads with approximately 46.4% of the global share in 2025.
Infrastructure Monitoring Market: The global infrastructure monitoring market size was valued at USD 6.17 billion in 2024 and is poised to grow to USD 15.79 billion by 2033, growing at a CAGR of 11% during the forecast period (2026–2033). Another report estimates the market at USD 5.59 billion in 2024, predicted to increase to USD 15.70 billion by 2034, expanding at a CAGR of 10.88% from 2025 to 2034. North America dominated the market with a 33% revenue share in 2024.
Application Performance Monitoring (APM) Market: The global Application Performance Monitoring market is estimated at US$9.5 billion in 2024 and is likely to reach a projected US$20.6 billion by 2030, registering a 2024-2030 CAGR of 13.8%. Another source indicates a market size of USD 9.42 billion in 2025, projected to grow to USD 24.14 billion by 2034 with a CAGR of 11.2%. North America leads the global market for Application Performance Monitoring with an estimated 2024 share of 30.2%.
Log Management Market: The global log management market size was valued at USD 3.27 billion in 2024 and is poised to grow to USD 9.5 billion by 2033, growing at a CAGR of 12.6% during the forecast period (2026–2033). Another outlook estimates revenue from the global log management market to reach US$3.31 billion in 2024, climbing to US$11.03 billion by 2034, expanding at a CAGR of 12.8%. North America is a leading region in the industry, holding a significant log management market share of 38% in 2024.
Cloud Security Market: The global cloud security market size was valued at USD 51.11 billion in 2025 and is projected to grow to USD 224.16 billion by 2034, registering a CAGR of 17.80% over the forecast period. Other estimates for the global cloud security market size range from USD 35.84 billion in 2024, projected to reach USD 75.26 billion by 2030 with a CAGR of 13.3%, to USD 40.81 billion in 2025, predicted to increase to USD 133.39 billion by 2035 at a CAGR of 12.57%. North America dominated the cloud security market with a market share of 38.00% in 2025.
User Experience Monitoring (EUEM) Market: The global end user experience monitoring market size was estimated at USD 3.90 billion in 2024 and is anticipated to grow at a CAGR of 15.7% from 2025 to 2030. Another report valued the market at USD 3.88 billion in 2024 and expects it to reach USD 14.94 billion by 2032, growing at a CAGR of 18.44%. North America held a significant revenue share of over 39.0% of the end user experience monitoring industry in 2024.
Network Performance Monitoring (NPM) Market: The global network performance monitoring market size was valued at USD 4.13 billion in 2025 and is projected to grow to USD 9.52 billion by 2034, exhibiting a CAGR of 9.50% during the forecast period. Another report indicates the market size was USD 2.067 billion in 2025, reaching USD 4.831 billion by 2032 and exhibiting a CAGR of 13.4%. The global network performance monitoring market size is expected to cross USD 12 billion by 2032. North America is anticipated to be the dominant market in 2025.
Incident Management Market: The global incident and emergency management market size was valued at USD 137.48 billion in 2024 and is predicted to reach around USD 250.01 billion by 2034, expanding at a CAGR of 6.16% from 2025 to 2034. The global incident response market size was valued at USD 26.63 billion in 2025 and is expected to reach USD 358.49 billion by 2033, at a CAGR of 38.40%. North America dominated the incident and emergency management market in 2024.

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Here are 3-5 expected drivers of future revenue growth for Datadog (DDOG) over the next 2-3 years:

Expanding Product Portfolio and Cross-Selling: Datadog continues to broaden its platform by launching new features and capabilities, including security solutions (e.g., unified Cloud Security Management, Cloud SIEM), developer productivity tools (e.g., CI visibility, code-level insights), FinOps add-ons (e.g., cloud cost management), and advanced observability features like Kubernetes Active Remediation and Data Observability. The company's "land-and-expand" strategy is effective, with a high percentage of existing customers adopting multiple products (over 80% use two or more, and adoption of six+ products is rising), leading to higher net revenue retention and increased average revenue per user (ARPU).
AI-Powered Innovation and Solutions: Datadog is making significant investments in artificial intelligence (AI) and machine learning (ML) to enhance its platform's capabilities, improve automation, and deliver more actionable insights to customers. Key AI-driven initiatives such as Bits AI (for troubleshooting, remediation, and security analysis), LLM Observability, and GPU monitoring are expected to increase platform stickiness and drive the upsell of security and observability modules. The company has seen significant traction in customers' adoption of AI/ML capabilities, with AI-native customer growth significantly outpacing the rest of the business.
Growth in Enterprise and Public Sector Customer Acquisition and Expansion: Datadog is strategically focusing on acquiring and expanding its presence within larger enterprise and public sector organizations. The number of customers generating over $1 million in annual recurring revenue (ARR) is experiencing significant growth, with 603 enterprise accounts exceeding this threshold in 2025, a 31% increase from the previous year. Datadog is deepening its public-sector and enterprise sales through cloud marketplaces, Global System Integrator (GSI) partnerships, and private-offer integrations to streamline procurement.
International Expansion: With international clients already contributing approximately 40% of its revenue, Datadog is actively pursuing further expansion in regions like EMEA (Europe, the Middle East, and Africa) and APAC (Asia-Pacific). This involves localized data handling and establishing additional regional presences to meet data residency requirements, providing a multi-year runway for revenue growth from global markets.

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Share Repurchases

Datadog used $28.24 million for stock repurchases in Q4 2025.

Share Issuance

In December 2024, Datadog issued $1.0 billion of 0% convertible senior notes due 2029.
In June 2020, Datadog issued $747.5 million of 0.125% convertible senior notes due 2025.
For the year ended December 31, 2025, Datadog issued 771,355 shares of Class A common stock as consideration in acquisitions.

Outbound Investments

Datadog acquired Propolis in January 2026, Eppo in May 2025, and Metaplane in April 2025.
Acquisition of subsidiaries/investments amounted to $46 million in 2024, $12 million in 2023, and $7 million in 2022.

Capital Expenditures

Capital expenditures amounted to -$135.4 million for the year ended December 31, 2025.
Capital expenditures were approximately $65 million in 2024, $62 million in 2023, and $96 million in 2022.
Datadog plans to continue investing heavily in R&D, particularly in AI advancements, and expand go-to-market strategies, having delivered over 400 new features in 2025.

Interactive Breakdown

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Better Bets vs. Datadog (DDOG)

INDUSTRY: Application Software

Higher Rev Chg 3Y Avg | Lower P/S (Values for DDOG: 27.0% | 19.5x)

LIF (29.0% | 7.0x)

Life360

TONX (850.3% | 14.7x)

TON Strategy

IPM (657.6% | 1.0x)

Intelligent Protection Management

NXTT (205.1% | 1.1x)

Next Technology

AMZE (146.0% | 2.5x)

Amaze

Higher Rev Chg LTM (Value for DDOG: 29.5%)

PLTR (67.7%)

Palantir Technologies

APP (66.4%)

AppLovin

FIG (41.0%)

Figma

SNPS (31.9%)

Synopsys

LIF (31.8%)

Life360

Higher Rev Chg 3Y Avg (Value for DDOG: 27.0%)

TONX (850.3%)

TON Strategy

IPM (657.6%)

Intelligent Protection Management

PLTR (39.6%)

Palantir Technologies

APP (37.0%)

AppLovin

LIF (29.0%)

Life360

Higher Op Mgn LTM (Value for DDOG: -0.7%)

APP (77.1%)

AppLovin

PLTR (38.1%)

Palantir Technologies

ORCL (32.3%)

Oracle

INTU (27.1%)

Intuit

CRM (21.5%)

Salesforce

Higher CFO/Rev LTM (Value for DDOG: 30.3%)

APP (71.9%)

AppLovin

PLTR (52.1%)

Palantir Technologies

ORCL (36.7%)

Oracle

CRM (36.1%)

Salesforce

INTU (34.7%)

Intuit

Higher FCF/Rev LTM (Value for DDOG: 26.1%)

APP (71.9%)

AppLovin

PLTR (51.5%)

Palantir Technologies

ADBE (42.2%)

Adobe

CRM (34.7%)

Salesforce

INTU (34.0%)

Intuit

Higher Total Yield (Value for DDOG: 0.2%)

CRM (5.2%)

Salesforce

INTU (5.1%)

Intuit

ORCL (3.9%)

Oracle

APP (2.5%)

AppLovin

PLTR (0.7%)

AVGO (1.2%)

Broadcom

All Other Sectors

Higher Rev Chg 3Y Avg | Lower P/S (Values for DDOG: 27.0% | 19.5x)

LLY (37.9% | 12.0x)

Eli Lilly

NEM (30.0% | 5.2x)

Newmont

AEM (32.5% | 7.3x)

Agnico Eagle Mines

BX (44.0% | 7.6x)

Blackstone

KKR (65.2% | 4.6x)

KKR

Higher Rev Chg LTM (Value for DDOG: 29.5%)

AEM (51.7%)

Agnico Eagle Mines

COF (47.6%)

Capital One Financial

LLY (47.4%)

Eli Lilly

WELL (37.7%)

Welltower

BA (32.7%)

Boeing

Higher Rev Chg 3Y Avg (Value for DDOG: 27.0%)

KKR (65.2%)

KKR

BX (44.0%)

Blackstone

LLY (37.9%)

Eli Lilly

AEM (32.5%)

Agnico Eagle Mines

NEM (30.0%)

Newmont

Higher Op Mgn LTM (Value for DDOG: -0.7%)

META (41.2%)

Meta Platforms

GOOGL (32.7%)

Alphabet

AMZN (11.5%)

Amazon.com

TSLA (5.4%)

Tesla

WMT (4.2%)

Walmart

Higher CFO/Rev LTM (Value for DDOG: 30.3%)

META (57.7%)

Meta Platforms

MA (53.8%)

Mastercard

V (52.9%)

Visa

BAC (48.8%)

Bank of America

GOOGL (41.3%)

Alphabet

Higher FCF/Rev LTM (Value for DDOG: 26.1%)

RY (88.3%)

Royal Bank of Canada

MA (50.3%)

Mastercard

V (49.2%)

Visa

BAC (48.8%)

Bank of America

ABBV (31.8%)

AbbVie

Higher Total Yield (Value for DDOG: 0.2%)

BRK-B (7.0%)

Berkshire Hathaway

META (5.0%)

Meta Platforms

GOOGL (3.6%)

Alphabet

AMZN (3.1%)

Amazon.com

TSLA (0.3%)

Tesla

Best Bets in Information Technology

What You Pay

P/EBIT (Value for DDOG: 430.2x)

APP (33.7x)

AppLovin

VRSN (22.5x)

VeriSign

NVDA (37.6x)

NVIDIA

QLYS (14.1x)

Qualys

ADEA (18.0x)

Adeia

IDCC (15.2x)

InterDigital

YOU (26.8x)

Clear Secure

ADBE (10.9x)

Adobe

GEN (8.0x)

Gen Digital

FICO (22.5x)

Fair Isaac

P/E (Value for DDOG: 526.8x)

APP (40.7x)

AppLovin

VRSN (31.2x)

VeriSign

NVDA (44.4x)

NVIDIA

QLYS (16.2x)

Qualys

ADEA (28.6x)

Adeia

IDCC (18.9x)

InterDigital

YOU (46.2x)

Clear Secure

ADBE (14.0x)

Adobe

GEN (22.7x)

Gen Digital

FICO (34.0x)

Fair Isaac

What You Get

Rev Chg 3Y Avg (Value for DDOG: 27.0%)

APP (37.0%)

AppLovin

VRSN (5.3%)

VeriSign

NVDA (101.8%)

NVIDIA

QLYS (10.6%)

Qualys

ADEA (4.4%)

Adeia

IDCC (14.8%)

InterDigital

YOU (25.6%)

Clear Secure

ADBE (10.8%)

Adobe

GEN (15.3%)

Gen Digital

FICO (16.7%)

Fair Isaac

Rev Chg LTM (Value for DDOG: 29.5%)

APP (66.4%)

AppLovin

VRSN (6.8%)

VeriSign

NVDA (65.5%)

NVIDIA

QLYS (10.2%)

Qualys

ADEA (21.1%)

Adeia

IDCC (1.6%)

InterDigital

YOU (17.4%)

Clear Secure

ADBE (11.0%)

Adobe

GEN (21.5%)

Gen Digital

FICO (22.6%)

Fair Isaac

Rev Chg Q (Value for DDOG: 32.2%)

APP (59.0%)

AppLovin

VRSN (6.6%)

VeriSign

NVDA (73.2%)

NVIDIA

QLYS (9.8%)

Qualys

ADEA (19.5%)

Adeia

IDCC (-2.4%)

InterDigital

YOU (19.7%)

Clear Secure

ADBE (12.0%)

Adobe

GEN (25.8%)

Gen Digital

FICO (38.7%)

Fair Isaac

FCF/Rev 3Y Avg (Value for DDOG: 28.4%)

APP (64.1%)

AppLovin

VRSN (57.7%)

VeriSign

NVDA (45.3%)

NVIDIA

QLYS (42.9%)

Qualys

ADEA (40.3%)

Adeia

IDCC (39.5%)

InterDigital

YOU (39.2%)

Clear Secure

ADBE (38.8%)

Adobe

GEN (37.6%)

Gen Digital

FICO (34.8%)

Fair Isaac

[1] Choosing top 10 best bets from each sector quarterly is an alpha producing strategy vs sector benchmark
[2] Historical annualized return of 24%, alpha of 2.9%, and sharpe of 1.04

Latest Trefis Analyses

	Title	Date
0	DASHBOARDS
1	Datadog Earnings Notes	05/06/2026
2	Datadog Stock Rockets 23% With 6-Day Winning Streak	04/21/2026
3	Datadog Stock Rockets 20% With 5-Day Winning Streak	04/18/2026
4	Is 12.8% Fall In Datadog (DDOG) Stock A Buying Opportunity?	03/28/2026
5	Datadog Stock Down 7.9% in One Day, Wait For A Dip To Buy The Stock	03/28/2026
6	DDOG Stock Surges 16% With A 5-day Winning Spree On AI Growth Outlook	03/10/2026
7	Is 27.0% Fall In Datadog (DDOG) Stock A Buying Opportunity?	02/24/2026
8	DDOG Stock Falls -21% With An 8-day Losing Streak On PT Cuts & Weak Outlook	02/24/2026
9	DDOG Stock Falls -11% In 7-Day Spree On FY26 Guidance & PT Cuts	02/21/2026
10	DDOG Stock Falls -7% With A 6-day Losing Spree On Softer Guidance	02/20/2026
11	ARTICLES
12	S&P 500 Stocks Trading At 52-Week High	05/12/2026
13	DDOG Stock To $400?	05/08/2026
14	S&P 500 Movers \| Winners: DDOG, FTNT, AXON \| Losers: ZTS, TPR, TER	05/08/2026
15	How Will Datadog Stock React To Its Upcoming Earnings?	05/06/2026
16	6-Day Rally Sends Datadog Stock Up 23%	04/21/2026

	Title
0	DASHBOARDS
1	Datadog Earnings Notes
2	Datadog Stock Rockets 23% With 6-Day Winning Streak
3	Datadog Stock Rockets 20% With 5-Day Winning Streak
4	Is 12.8% Fall In Datadog (DDOG) Stock A Buying Opportunity?
5	Datadog Stock Down 7.9% in One Day, Wait For A Dip To Buy The Stock
6	DDOG Stock Surges 16% With A 5-day Winning Spree On AI Growth Outlook
7	Is 27.0% Fall In Datadog (DDOG) Stock A Buying Opportunity?
8	DDOG Stock Falls -21% With An 8-day Losing Streak On PT Cuts & Weak Outlook
9	DDOG Stock Falls -11% In 7-Day Spree On FY26 Guidance & PT Cuts
10	DDOG Stock Falls -7% With A 6-day Losing Spree On Softer Guidance
11	ARTICLES
12	S&P 500 Stocks Trading At 52-Week High
13	DDOG Stock To $400?
14	S&P 500 Movers \| Winners: DDOG, FTNT, AXON \| Losers: ZTS, TPR, TER
15	How Will Datadog Stock React To Its Upcoming Earnings?
16	6-Day Rally Sends Datadog Stock Up 23%

Trade Ideas

Select ideas related to DDOG.

Unique Key	Date	Ticker	Company	Category	Trade Strategy	6M Fwd Rtn	12M Fwd Rtn	12M Max DD
PLTR_4302026_Monopoly_xInd_xCD_Getting_Cheaper	04302026	PLTR	Palantir Technologies	Monopoly	MY \| Getting CheaperMonopoly-Like with P/S Decline Large cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple	0.0%	0.0%	0.0%
ADSK_4102026_Dip_Buyer_FCFYield	04102026	ADSK	Autodesk	Dip Buy	DB \| FCFY OPMDip Buy with High FCF Yield and High Margin Buying dips for companies with high FCF yield and meaningfully high operating margin	8.5%	8.5%	0.0%
BSY_4102026_Dip_Buyer_FCFYield	04102026	BSY	Bentley Systems	Dip Buy	DB \| FCFY OPMDip Buy with High FCF Yield and High Margin Buying dips for companies with high FCF yield and meaningfully high operating margin	4.2%	4.2%	0.0%
ENPH_4102026_Dip_Buyer_ValueBuy	04102026	ENPH	Enphase Energy	Dip Buy	DB \| P/E OPMDip Buy with Low PE and High Margin Buying dips for companies with tame PE and meaningfully high operating margin	5.7%	5.7%	0.0%
BL_4102026_Dip_Buyer_High_CFO_Margins_ExInd_DE	04102026	BL	BlackLine	Dip Buy	DB \| CFO/Rev \| Low D/EDip Buy with High Cash Flow Margins Buying dips for companies with significant cash flows from operations and reasonable debt / market cap	3.2%	3.2%	-3.0%
DDOG_12122025_Monopoly_xInd_xCD_Getting_Cheaper	12122025	DDOG	Datadog	Monopoly	MY \| Getting CheaperMonopoly-Like with P/S Decline Large cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple	-9.5%	-9.5%	-29.7%
DDOG_2282025_Monopoly_xInd_xCD_Getting_Cheaper	02282025	DDOG	Datadog	Monopoly	MY \| Getting CheaperMonopoly-Like with P/S Decline Large cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple	17.3%	-3.9%	-25.4%
DDOG_5312022_Dip_Buyer_High_CFO_Margins_ExInd_DE	05312022	DDOG	Datadog	Dip Buy	DB \| CFO/Rev \| Low D/EDip Buy with High Cash Flow Margins Buying dips for companies with significant cash flows from operations and reasonable debt / market cap	-24.5%	-0.5%	-34.3%

Recent Active Movers

Top Gainers

Ticker	Company	Mkt Cap (B)	1D Rtn	YTD Rtn
BZH	Beazer Homes USA	0.7	34.0%	24.1%
POET	POET Technologies	1.7	26.9%	119.6%
LQDA	Liquidia	4.6	25.6%	54.0%
NVTS	Navitas Semiconductor	5.0	24.5%	217.2%
AAOI	Applied Optoelectronics	13.0	24.1%	430.4%
INOD	Innodata	3.3	22.3%	103.8%
VICR	Vicor	14.1	22.0%	185.5%
TH	Target Hospitality	1.8	17.9%	125.7%
LITE	Lumentum	74.9	16.5%	185.7%
FCEL	FuelCell Energy	0.8	16.4%	118.1%

Top Losers

Ticker	Company	Mkt Cap (B)	1D Rtn	YTD Rtn
CERT	Certara	0.8	-18.7%	-41.8%
PSIX	Power Solutions International	1.4	-17.7%	9.3%
NPCE	NeuroPace	0.5	-14.6%	1.5%
JOUT	Johnson Outdoors	0.5	-12.8%	7.1%
NABL	N-able	0.8	-12.8%	-45.3%
UI	Ubiquiti	44.7	-12.3%	33.6%
ARLO	Arlo Technologies	1.4	-10.9%	-2.9%
RVLV	Revolve	1.3	-10.7%	-38.3%
PRAA	PRA	0.7	-10.6%	-3.1%
CTKB	Cytek Biosciences	0.5	-10.6%	-18.4%

Top Gainers

Ticker	Company	Mkt Cap (B)	1W Rtn	YTD Rtn
INOD	Innodata	3.3	127.1%	103.8%
FLNC	Fluence Energy	3.3	104.6%	27.6%
POET	POET Technologies	1.7	95.5%	119.6%
STRL	Sterling Infrastructure	26.6	64.0%	183.5%
SITM	SiTime	23.6	59.6%	155.2%
FLEX	Flex	53.5	58.0%	140.1%
AAON	AAON	11.6	54.2%	86.1%
WEST	Westrock Coffee	0.8	52.4%	115.0%
XMTR	Xometry	4.1	52.4%	35.8%
DOCN	DigitalOcean	14.9	49.5%	238.2%

Top Losers

Ticker	Company	Mkt Cap (B)	1W Rtn	YTD Rtn
EMBC	Embecta	0.2	-63.7%	-71.3%
TRDA	Entrada Therapeutics	0.3	-55.7%	-31.9%
BRBR	BellRing Brands	1.1	-45.9%	-64.8%
WGS	GeneDx	1.2	-41.7%	-69.5%
PRIM	Primoris Services	6.2	-38.4%	-7.8%
FWRD	Forward Air	0.3	-35.5%	-58.2%
TMDX	TransMedics	2.2	-33.8%	-47.1%
PAHC	Phibro Animal Health	1.5	-33.6%	-2.6%
AORT	Artivion	1.1	-33.0%	-47.8%
VITL	Vital Farms	0.4	-32.8%	-72.6%

Top Gainers

Ticker	Company	Mkt Cap (B)	1M Rtn	YTD Rtn
MXL	MaxLinear	9.0	394.3%	486.7%
BAND	Bandwidth	1.5	209.5%	223.3%
INOD	Innodata	3.3	191.8%	103.8%
FCEL	FuelCell Energy	0.8	139.7%	118.1%
NVTS	Navitas Semiconductor	5.0	137.4%	217.2%
WOLF	Wolfspeed	1.4	116.7%	189.0%
DOCN	DigitalOcean	14.9	115.3%	238.2%
SITM	SiTime	23.6	114.5%	155.2%
INTC	Intel	657.9	107.5%	250.8%
KEEL	Keel Infrastructure	2.6	100.9%	99.1%

Top Losers

Ticker	Company	Mkt Cap (B)	1M Rtn	YTD Rtn
EMBC	Embecta	0.2	-62.0%	-71.3%
CAR	Avis Budget	5.3	-49.6%	17.8%
TRDA	Entrada Therapeutics	0.3	-48.1%	-31.9%
FWRD	Forward Air	0.3	-45.4%	-58.2%
TMDX	TransMedics	2.2	-43.6%	-47.1%
ULH	Universal Logistics	0.3	-41.0%	-16.8%
CABO	Cable One	0.3	-39.0%	-50.3%
ERAS	Erasca	3.0	-38.6%	180.6%
BRBR	BellRing Brands	1.1	-37.4%	-64.8%
PAHC	Phibro Animal Health	1.5	-37.3%	-2.6%

Peer Comparisons

Peers to compare with:

Financials

	DDOG	DT	ESTC	NOW	SNOW	CRWD	Median
Name	Datadog	Dynatrace	Elastic	ServiceN.	Snowflake	CrowdStr.
Mkt Price	202.32	40.23	50.38	91.49	151.50	542.26	121.50
Mkt Cap	71.5	12.1	5.3	94.7	51.9	137.0	61.7
Rev LTM	3,672	1,932	1,677	13,960	4,684	4,812	4,178
Op Inc LTM	-25	251	-29	1,876	-1,435	-293	-27
FCF LTM	959	463	257	4,624	1,117	1,241	1,038
FCF 3Y Avg	820	403	202	3,800	917	1,079	869
CFO LTM	1,113	498	261	5,437	1,222	1,612	1,168
CFO 3Y Avg	927	431	206	4,626	1,010	1,387	969

Growth & Margins

	DDOG	DT	ESTC	NOW	SNOW	CRWD	Median
Name	Datadog	Dynatrace	Elastic	ServiceN.	Snowflake	CrowdStr.
Rev Chg LTM	29.5%	18.2%	17.3%	21.7%	29.2%	21.7%	21.7%
Rev Chg 3Y Avg	27.0%	20.8%	17.7%	22.4%	31.4%	29.1%	24.7%
Rev Chg Q	32.2%	18.2%	17.7%	22.1%	30.1%	23.3%	22.7%
QoQ Delta Rev Chg LTM	7.1%	4.3%	4.2%	5.1%	6.8%	5.4%	5.3%
Op Inc Chg LTM	-182.4%	57.2%	65.5%	26.5%	1.4%	-152.0%	14.0%
Op Inc Chg 3Y Avg	17.2%	40.8%	46.0%	71.1%	-20.5%	-190.1%	29.0%
Op Mgn LTM	-0.7%	13.0%	-1.7%	13.4%	-30.6%	-6.1%	-1.2%
Op Mgn 3Y Avg	0.3%	10.6%	-5.9%	12.1%	-36.6%	-3.2%	-1.4%
QoQ Delta Op Mgn LTM	0.6%	0.8%	0.4%	-0.3%	3.6%	2.4%	0.7%
CFO/Rev LTM	30.3%	25.8%	15.6%	38.9%	26.1%	33.5%	28.2%
CFO/Rev 3Y Avg	31.9%	26.3%	14.0%	39.9%	27.6%	35.5%	29.8%
FCF/Rev LTM	26.1%	23.9%	15.3%	33.1%	23.9%	25.8%	24.9%
FCF/Rev 3Y Avg	28.4%	24.6%	13.7%	32.7%	25.0%	27.7%	26.4%

Valuation

	DDOG	DT	ESTC	NOW	SNOW	CRWD	Median
Name	Datadog	Dynatrace	Elastic	ServiceN.	Snowflake	CrowdStr.
Mkt Cap	71.5	12.1	5.3	94.7	51.9	137.0	61.7
P/S	19.5	6.3	3.1	6.8	11.1	28.5	8.9
P/Op Inc	-2,902.4	48.3	-181.0	50.5	-36.1	-467.0	-108.6
P/EBIT	430.2	48.3	191.4	39.4	-39.8	-1,384.0	43.8
P/E	526.8	65.6	-62.3	53.9	-38.9	-842.9	7.5
P/CFO	64.2	24.3	20.2	17.4	42.4	84.9	33.4
Total Yield	0.2%	1.5%	-1.6%	1.9%	-2.6%	-0.1%	0.0%
Dividend Yield	0.0%	0.0%	0.0%	0.0%	0.0%	0.0%	0.0%
FCF Yield 3Y Avg	2.1%	2.7%	2.2%	2.8%	1.5%	1.3%	2.2%
D/E	0.0	0.0	0.1	0.0	0.1	0.0	0.0
Net D/E	-0.0	-0.1	-0.1	-0.0	-0.0	-0.0	-0.0

Returns

	DDOG	DT	ESTC	NOW	SNOW	CRWD	Median
Name	Datadog	Dynatrace	Elastic	ServiceN.	Snowflake	CrowdStr.
1M Rtn	92.0%	24.3%	16.4%	10.2%	25.1%	43.1%	24.7%
3M Rtn	77.5%	11.2%	-17.9%	-11.9%	-13.9%	32.9%	-0.4%
6M Rtn	1.3%	-13.9%	-45.9%	-47.2%	-43.6%	-2.7%	-28.7%
12M Rtn	87.5%	-17.3%	-41.1%	-53.3%	-13.0%	32.1%	-15.2%
3Y Rtn	131.9%	-13.6%	-13.8%	0.5%	-9.5%	316.4%	-4.5%
1M Excs Rtn	83.3%	15.6%	7.6%	1.5%	16.4%	34.3%	16.0%
3M Excs Rtn	71.0%	4.8%	-24.3%	-18.4%	-20.3%	26.5%	-6.8%
6M Excs Rtn	-4.3%	-23.0%	-52.1%	-57.0%	-53.1%	-8.5%	-37.5%
12M Excs Rtn	54.4%	-48.0%	-72.5%	-83.9%	-43.8%	-4.4%	-45.9%
3Y Excs Rtn	85.8%	-90.4%	-93.7%	-76.3%	-85.0%	277.5%	-80.6%

FDIC Bank Data

$ Mil \| FY: 12/31	LTM	2025	2024	2023	2022	2021	2020
Period End	3/31/2026	12/31/2025	12/31/2024	12/31/2023	12/31/2022	12/31/2021	12/31/2020
Filing Date	5/7/2026	2/18/2026	2/20/2025	2/23/2024	2/24/2023	2/25/2022	3/1/2021
Key Financials
Total Revenue	3,672	3,427	2,684	2,128	1,675	1,029	603
EBITDA	229	194	266	111	13	26	24
Operating Income	-25	-44	54	-33	-59	-19	-14
Net Income	136	108	184	49	-50	-21	-25
EPS	0.39	0.31	0.55	0.15	-0.16	-0.07	-0.08
Growth Rates
Total Revenue Growth	29.5%	27.7%	26.1%	27.1%	62.8%	70.5%	66.3%
EBITDA Growth	-8.8%	-27.1%	139.6%	747.7%	-48.8%	8.1%	762.1%
Operating Income Growth	-182.4%	-181.7%	262.2%	43.0%	-206.4%	-39.1%	31.6%
Net Income Growth	-18.1%	-41.4%	278.3%	196.8%	-141.8%	15.5%	-46.9%
Margins
EBITDA Margin	6.2%	5.7%	9.9%	5.2%	0.8%	2.5%	3.9%
Operating Income Margin	-0.7%	-1.3%	2.0%	-1.6%	-3.5%	-1.9%	-2.3%
Net Income Margin	3.7%	3.1%	6.8%	2.3%	-3.0%	-2.0%	-4.1%
Cash & Debt
Total Cash	4,759	4,475	4,189	2,583	1,884	1,554	1,517
Total Debt	1,285	1,279	1,842	902	838	808	644
Net Debt / (Cash)	-3,474	-3,196	-2,347	-1,681	-1,047	-747	-874
Cash Flows
Net Cash from Operations	1,113	1,050	871	660	418	287	109
Free Cash from Operations	959	915	775	598	354	251	83
Returns to Shareholders
Dividends	0	-0	-0	-0	-0	-0	-0
Share Repurchases	-0	-0	-0	-0	-0	-0	0

$ Mil \| FY: 12/31	2026Q1	2025Q4	2025Q3	2025Q2	2025Q1	2024Q4	2024Q3	2024Q2	2024Q1	2023Q4	2023Q3	2023Q2
Period End	3/31/2026	12/31/2025	9/30/2025	6/30/2025	3/31/2025	12/31/2024	9/30/2024	6/30/2024	3/31/2024	12/31/2023	9/30/2023	6/30/2023
Filing Date	5/7/2026	2/18/2026	11/7/2025	8/8/2025	5/7/2025	2/20/2025	11/8/2024	8/9/2024	5/8/2024	2/23/2024	11/7/2023	8/9/2023
Key Financials Quarterly
Total Revenue	1,006	953	886	827	762	738	690	645	611	590	548	509
Ebitda	79	77	52	20	44	75	71	61	60	73	36	10
Operating Income	7	8	-6	-34	-12	9	20	13	12	28	-4	-22
Net Income	53	47	34	3	25	46	52	44	43	54	23	-4
EPS	0.15	0.13	0.10	0.01	0.07	0.13	0.15	0.13	0.13	0.16	0.07	-0.01
Key Financials TTM
Total Revenue TTM	3,672	3,427	3,212	3,016	2,835	2,684	2,536	2,394	2,258	2,128	2,008	1,897
Ebitda TTM	229	194	191	210	251	266	264	230	179	111	27	-20
Operating Income TTM	-25	-44	-43	-17	30	54	73	48	14	-33	-96	-123
Net Income TTM	136	108	107	125	166	184	192	163	115	49	-34	-83
Growth Rates Quarterly
Total Revenue Growth	32.2%	29.2%	28.4%	28.1%	24.6%	25.1%	26.0%	26.7%	26.9%	25.6%	25.4%	25.4%
EBITDA Growth	78.6%	3.2%	-26.3%	-66.6%	-25.9%	2.3%	94.4%	490.4%	778.3%	796.1%	434.8%	-18.6%
Operating Income Growth	159.0%	-15.0%	-128.6%	-370.5%	-203.5%	-66.1%	579.4%	157.3%	134.3%	180.1%	86.5%	-601.1%
Net Income Growth	113.4%	2.1%	-34.5%	-94.0%	-42.2%	-15.6%	128.4%	1204.2%	277.0%	286.0%	187.1%	18.7%
Margins Quarterly
EBITDA Margin	7.8%	8.1%	5.9%	2.5%	5.8%	10.1%	10.2%	9.4%	9.8%	12.4%	6.6%	2.0%
Operating Income Margin	0.7%	0.8%	-0.7%	-4.1%	-1.6%	1.3%	2.9%	2.0%	2.0%	4.7%	-0.8%	-4.3%
Net Income Margin	5.2%	4.9%	3.8%	0.3%	3.2%	6.2%	7.5%	6.8%	7.0%	9.2%	4.1%	-0.8%
Cash & Debt
Total Cash	4,759	4,475	4,140	3,911	4,450	4,189	3,199	2,960	2,781	2,583	2,342	2,185
Total Debt	1,285	1,279	1,279	1,264	1,877	1,842	969	962	958	902	888	885
Net Debt / (Cash)	-3,474	-3,196	-2,861	-2,647	-2,572	-2,347	-2,230	-1,998	-1,824	-1,681	-1,454	-1,300
Cash Flows Quarterly
FCF from Operations	335	327	251	200	272	265	229	164	212	220	153	153
Cash Flows TTM
FCF from Operations TTM	1,113	1,050	988	966	930	871	826	750	738	660	554	485
Returns to Shareholders Quarterly
Dividends	0	0	0	0	0	0	0	0	0	0	0	0
Share Repurchases	-0	-0	-0	-0	-0	-0	-0	-0	-0	-0	-0	-0
Return on Invested Capital (ROIC) Quarterly
ROIC	8.1%	7.0%	-4.5%	-12.1%	-13.3%	9.4%	18.0%	9.7%	9.0%	21.0%	-2.8%	-15.2%
Return on Invested Capital (ROIC) TTM
ROIC TTM	-6.7%	-9.4%	-7.4%	-2.9%	9.0%	14.5%	16.2%	9.4%	2.5%	-5.4%	-17.1%	-21.2%

Segment Financials

Revenue by Segment

$ Mil	2025	2024	2023	2022	2021
Observability and security platform for cloud applications	2,684	2,128
Single Segment			1,675	1,029	603
Total	2,684	2,128	1,675	1,029	603

Price Behavior

Price Behavior

Market Price	$202.32
Market Cap ($ Bil)	71.1
First Trading Date	09/19/2019
Distance from 52W High	0.0%
	50 Days	200 Days
DMA Price	$129.02	$138.87
DMA Trend	indeterminate	up
Distance from DMA	56.8%	45.7%
	3M	1YR
Volatility	87.4%	63.0%
Downside Capture	-0.72	0.54
Upside Capture	151.86	151.78
Correlation (SPY)	17.9%	25.2%

DDOG Betas & Captures as of 4/30/2026

	1M	2M	3M	6M	1Y	3Y
Beta	0.85	1.04	1.54	1.33	1.29	1.36
Up Beta	0.30	0.40	0.99	1.59	1.30	1.13
Down Beta	-1.23	0.36	1.44	0.87	0.94	1.37
Up Capture	136%	193%	173%	120%	165%	387%
Bmk +ve Days	15	22	31	66	141	428
Stock +ve Days	14	27	34	55	118	388
Down Capture	342%	113%	189%	153%	134%	109%
Bmk -ve Days	4	18	30	56	108	321
Stock -ve Days	8	16	30	70	133	362

[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively

Based On 1-Year Data

	Annualized Return	Annualized Volatility	Sharpe Ratio	Correlation with DDOG
DDOG	64.4%	61.7%	1.03	-
Sector ETF (XLK)	64.5%	20.8%	2.29	33.4%
Equity (SPY)	28.1%	12.5%	1.78	32.7%
Gold (GLD)	42.9%	26.9%	1.30	-6.4%
Commodities (DBC)	48.6%	18.0%	2.14	-1.0%
Real Estate (VNQ)	13.6%	13.5%	0.70	1.3%
Bitcoin (BTCUSD)	-22.4%	41.7%	-0.50	22.4%

Smart multi-asset allocation framework can stack odds in your favor. Learn How

Based On 5-Year Data

	Annualized Return	Annualized Volatility	Sharpe Ratio	Correlation with DDOG
DDOG	18.2%	57.6%	0.51	-
Sector ETF (XLK)	22.0%	24.8%	0.78	54.6%
Equity (SPY)	12.9%	17.1%	0.59	52.3%
Gold (GLD)	21.2%	17.9%	0.96	3.8%
Commodities (DBC)	13.5%	19.1%	0.58	8.6%
Real Estate (VNQ)	3.6%	18.8%	0.09	32.0%
Bitcoin (BTCUSD)	8.5%	56.0%	0.36	26.8%

Smart multi-asset allocation framework can stack odds in your favor. Learn How

Based On 10-Year Data

	Annualized Return	Annualized Volatility	Sharpe Ratio	Correlation with DDOG
DDOG	16.9%	59.7%	0.64	-
Sector ETF (XLK)	25.1%	24.4%	0.93	50.9%
Equity (SPY)	15.0%	17.9%	0.72	45.5%
Gold (GLD)	13.4%	15.9%	0.70	6.3%
Commodities (DBC)	9.5%	17.7%	0.45	12.5%
Real Estate (VNQ)	5.6%	20.7%	0.24	28.4%
Bitcoin (BTCUSD)	68.1%	66.9%	1.07	24.1%

Smart multi-asset allocation framework can stack odds in your favor. Learn How

Short Interest

Short Interest: As Of Date	4302026
Short Interest: Shares Quantity	15.4 Mil
Short Interest: % Change Since 4152026	21.2%
Average Daily Volume	4.5 Mil
Days-to-Cover Short Interest	3.4 days
Basic Shares Quantity	353.3 Mil
Short % of Basic Shares	4.4%

Returns Analyses

	Title
0	Can Datadog Stock Recover If Markets Fall?
1	Datadog Stock Return Comparison
2	Datadog Total Shareholder Return (TSR): -58.7% in 2022 and 24.8% 3-yr returns (above peer average)

Earnings Returns History

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	Forward Returns
Earnings Date	1D Returns	5D Returns	21D Returns
11/6/2025	23.1%	23.2%	-0.5%
8/7/2025	-0.4%	-6.0%	-0.6%
5/6/2025	0.3%	7.3%	13.2%
2/13/2025	-8.2%	-14.8%	-31.3%
11/7/2024	1.1%	0.1%	31.4%
8/8/2024	5.6%	5.7%	-0.8%
5/7/2024	-11.5%	-6.9%	-13.0%
2/13/2024	-2.4%	-5.3%	-8.4%
...
SUMMARY STATS
# Positive	12	12	9
# Negative	11	11	14
Median Positive	11.7%	11.7%	27.0%
Median Negative	-6.2%	-9.7%	-11.5%
Max Positive	28.5%	31.0%	50.0%
Max Negative	-17.2%	-17.8%	-31.3%

	Forward Returns
11/6/2025	23.1%	23.2%	-0.5%
8/7/2025	-0.4%	-6.0%	-0.6%
5/6/2025	0.3%	7.3%	13.2%
2/13/2025	-8.2%	-14.8%	-31.3%
11/7/2024	1.1%	0.1%	31.4%
8/8/2024	5.6%	5.7%	-0.8%
5/7/2024	-11.5%	-6.9%	-13.0%
2/13/2024	-2.4%	-5.3%	-8.4%
11/7/2023	28.5%	31.0%	43.7%
8/8/2023	-17.2%	-15.5%	-8.1%
5/4/2023	14.5%	30.6%	50.0%
2/16/2023	-7.0%	-11.3%	-22.7%
11/3/2022	0.7%	-9.7%	0.3%
8/4/2022	-1.7%	4.8%	-13.6%
5/5/2022	-6.0%	-17.8%	-11.4%
2/10/2022	12.3%	11.8%	-18.3%
11/4/2021	11.1%	14.0%	-3.3%
8/5/2021	15.3%	11.6%	19.3%
5/6/2021	8.3%	8.5%	27.0%
2/11/2021	-4.0%	-10.7%	-25.5%
11/10/2020	-6.2%	-4.9%	9.6%
8/6/2020	-16.4%	-8.4%	-11.6%
5/11/2020	23.6%	21.0%	40.5%
SUMMARY STATS
# Positive	12	12	9
# Negative	11	11	14
Median Positive	11.7%	11.7%	27.0%
Median Negative	-6.2%	-9.7%	-11.5%
Max Positive	28.5%	31.0%	50.0%
Max Negative	-17.2%	-17.8%	-31.3%

SEC Filings

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Report Date	Filing Date	Filing
03/31/2026	05/07/2026	10-Q
12/31/2025	02/18/2026	10-K
09/30/2025	11/07/2025	10-Q
06/30/2025	08/08/2025	10-Q
03/31/2025	05/07/2025	10-Q
12/31/2024	02/20/2025	10-K
09/30/2024	11/08/2024	10-Q
06/30/2024	08/09/2024	10-Q
03/31/2024	05/08/2024	10-Q
12/31/2023	02/23/2024	10-K
09/30/2023	11/07/2023	10-Q
06/30/2023	08/09/2023	10-Q
03/31/2023	05/05/2023	10-Q
12/31/2022	02/24/2023	10-K
09/30/2022	11/04/2022	10-Q
06/30/2022	08/08/2022	10-Q

Recent Forward Guidance [BETA]

Latest: Q3 2025 Earnings Reported 11/6/2025

Forward Guidance				Guidance Change
Metric	Low	Mid	High	% Chg	% Delta	Change	Prior
Q4 2025 Revenue	912.00 Mil	914.00 Mil	916.00 Mil
Q4 2025 Non-GAAP Operating Income	216.00 Mil	218.00 Mil	220.00 Mil
Q4 2025 Non-GAAP Net Income per share	0.54	0.55	0.56
2025 Revenue	3.39 Bil	3.39 Bil	3.39 Bil	2.1%		Raised	Guidance: 3.32 Bil for 2025
2025 Non-GAAP Operating Income	754.00 Mil	756.00 Mil	758.00 Mil	9.7%		Raised	Guidance: 689.00 Mil for 2025
2025 Non-GAAP Net Income per share	2	2.01	2.02	10.7%		Raised	Guidance: 1.81 for 2025

Prior: Q2 2025 Earnings Reported 8/7/2025

Forward Guidance				Guidance Change
Metric	Low	Mid	High	% Chg	% Delta	Change	Prior
Q3 2025 Revenue	847.00 Mil	849.00 Mil	851.00 Mil	7.6%		Higher New	Guidance: 789.00 Mil for Q2 2025
Q3 2025 Non-GAAP Operating Income	176.00 Mil	178.00 Mil	180.00 Mil	18.7%		Higher New	Guidance: 150.00 Mil for Q2 2025
Q3 2025 Non-GAAP Net Income Per Share	0.44	0.45	0.46	9.8%		Higher New	Guidance: 0.41 for Q2 2025
2025 Revenue	3.31 Bil	3.32 Bil	3.32 Bil	2.9%		Raised	Guidance: 3.23 Bil for 2025
2025 Non-GAAP Operating Income	684.00 Mil	689.00 Mil	694.00 Mil	8.5%		Raised	Guidance: 635.00 Mil for 2025
2025 Non-GAAP Net Income Per Share	1.8	1.81	1.83	7.4%		Raised	Guidance: 1.69 for 2025

Insider Activity

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#	Owner	Title	Holding	Action	Filing Date	Price	Shares	Transacted Value	Value of Held Shares	Form
1	Richardson, Julie		Direct	Sell	5112026	185.82	1,930	358,633	391,337	Form
2	Richardson, Julie		Direct	Sell	5112026	188.50	2,433	458,620	760,786	Form
3	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	5112026	188.50	7,657	1,443,344	53,460,485	Form
4	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	5062026	150.00	10,806	1,620,900	79,696,650	Form
5	Agarwal, Amit		Trust	Sell	5062026	144.75	20,000	2,894,938	237,385	Form

Collapse to Preview

#	Owner	Title	Holding	Action	Filing Date	Price	Shares	Transacted Value	Value of Held Shares	Form
1	Richardson, Julie		Direct	Sell	5112026	185.82	1,930	358,633	391,337	Form
2	Richardson, Julie		Direct	Sell	5112026	188.50	2,433	458,620	760,786	Form
3	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	5112026	188.50	7,657	1,443,344	53,460,485	Form
4	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	5062026	150.00	10,806	1,620,900	79,696,650	Form
5	Agarwal, Amit		Trust	Sell	5062026	144.75	20,000	2,894,938	237,385	Form
6	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	5062026	144.93	43,106	6,247,534	77,005,142	Form
7	Agarwal, Amit		Trust	Sell	4292026	131.47	20,000	2,629,398	215,611	Form
8	Agarwal, Amit		Trust	Sell	4222026	125.98	20,000	2,519,524	206,601	Form
9	Agarwal, Amit		Trust	Sell	4172026	120.00	20,000	2,400,000	196,800	Form
10	Shah, Shardul		Trust	Sell	4172026	120.00	7,916	949,920	38,034,360	Form
11	Pomel, Olivier	Chief Executive Officer	Direct	Sell	4132026	111.14	42,443	4,717,074	92,876,547	Form
12	Agarwal, Amit		Trust	Sell	4102026	122.28	20,000	2,445,600	200,539	Form
13	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	4082026	116.46	32,300	3,761,653	61,876,398	Form
14	Agarwal, Amit		Trust	Sell	4032026	120.53	20,000	2,410,600	197,669	Form
15	Agarwal, Amit		Trust	Sell	3252026	127.36	20,000	2,547,237	208,873	Form
16	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	3252026	127.75	32,418	4,141,418	55,859,825	Form
17	Agarwal, Amit		Trust	Sell	3182026	126.73	20,000	2,534,673	207,843	Form
18	Pomel, Olivier	Chief Executive Officer	Direct	Sell	3182026	126.80	42,443	5,381,599	89,368,425	Form
19	Shah, Shardul		Trust	Sell	3172026	127.00	7,916	1,005,344	41,258,867	Form
20	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	3132026	125.68	22,330	2,806,479	29,960,580	Form
21	Agarwal, Amit		Trust	Sell	3112026	124.81	20,000	2,496,118	204,682	Form
22	Blitzer, Adam	Chief Operating Officer	Direct	Sell	3042026	110.24	32,092	3,537,903	25,391,058	Form
23	Li, Yanbing	Chief Product Officer	Direct	Sell	3042026	110.54	23,023	2,544,866	28,076,204	Form
24	Obstler, David M	Chief Financial Officer	Direct	Sell	3042026	110.54	40,057	4,427,737	51,578,151	Form
25	Acocella, Kerry	General Counsel and Secretary	Direct	Sell	3042026	110.54	17,653	1,951,287	13,896,659	Form
26	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	3042026	110.54	53,541	5,918,203	48,332,596	Form
27	Pomel, Olivier	Chief Executive Officer	Direct	Sell	3042026	110.54	68,922	7,618,355	77,908,024	Form
28	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	3042026	110.54	32,118	3,550,192	28,818,257	Form
29	Blitzer, Adam	Chief Operating Officer	Direct	Sell	3042026	110.54	33,429	3,695,105	29,005,947	Form
30	Galloreese, David	Chief People Officer	Direct	Sell	3042026	110.54	10,708	1,183,617	11,665,064	Form
31	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	2252026	104.88	21,612	2,266,659	51,474,723	Form
32	Shah, Shardul		Trust	Sell	2182026	126.19	7,916	998,892	41,992,980	Form
33	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	2132026	126.79	43,106	5,465,454	62,228,783	Form
34	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	1302026	140.99	32,418	4,570,511	42,501,607	Form
35	Shah, Shardul		Trust	Sell	1152026	124.89	7,916	988,660	42,551,493	Form
36	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	12312025	137.85	32,418	4,468,788	41,555,676	Form
37	Pomel, Olivier	Chief Executive Officer	Direct	Sell	12192025	137.93	11,195	1,544,122	71,465,870	Form
38	Shah, Shardul		Trust	Sell	12162025	146.94	7,916	1,163,207	51,227,088	Form
39	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	12152025	149.84	9,838	1,474,097	25,720,124	Form
40	Acocella, Kerry	General Counsel and Secretary	Direct	Sell	12092025	151.35	3,938	596,035	12,783,867	Form
41	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	12082025	154.05	53,912	8,305,201	45,514,077	Form
42	Blitzer, Adam	Chief Operating Officer	Direct	Sell	12042025	154.61	8,023	1,240,413	25,540,633	Form
43	Pomel, Olivier	Chief Executive Officer	Direct	Sell	12042025	154.63	32,923	5,090,929	80,119,623	Form
44	Galloreese, David	Chief People Officer	Direct	Sell	12042025	158.60	2,554	405,061	12,279,647	Form
45	Li, Yanbing	Chief Product Officer	Direct	Sell	12042025	158.60	6,715	1,064,989	31,623,589	Form
46	Blitzer, Adam	Chief Operating Officer	Direct	Sell	12042025	158.60	8,508	1,349,356	27,472,432	Form
47	Obstler, David M	Chief Financial Officer	Direct	Sell	12042025	158.60	12,513	1,984,543	59,337,726	Form
48	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	12042025	158.60	10,530	1,670,042	28,784,359	Form
49	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	12042025	158.60	13,765	2,183,108	53,712,871	Form
50	Pomel, Olivier	Chief Executive Officer	Direct	Sell	12042025	158.60	15,225	2,414,662	82,175,117	Form
51	Acocella, Kerry	General Counsel and Secretary	Direct	Sell	12042025	158.60	5,018	795,847	14,020,266	Form
52	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	11262025	158.49	43,224	6,850,776	55,859,409	Form
53	Pomel, Olivier	Chief Executive Officer	Direct	Sell	11192025	181.18	100,754	18,254,128	96,631,255	Form
54	Shah, Shardul		Trust	Sell	11172025	187.23	7,916	1,482,120	66,754,020	Form
55	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	11132025	197.99	53,912	10,673,913	78,336,013	Form
56	Jacobson, Matthew		ICONIQ Strategic Partners VI, L.P.	Sell	11132025	200.14	12,859			Form
57	Jacobson, Matthew		ICONIQ Strategic Partners VI-B, L.P.	Sell	11132025	200.14	18,951			Form
58	Jacobson, Matthew		ICONIQ Strategic Partners VI, L.P.	Sell	11132025	199.60	163,452	32,625,573	2,566,700	Form
59	Jacobson, Matthew		ICONIQ Strategic Partners VI-B, L.P.	Sell	11132025	199.60	240,854	48,075,452	3,782,698	Form
60	Callahan, Michael James		Trust	Sell	11102025	187.47	12,500	2,343,375	2,342,625	Form
61	Pomel, Olivier	Chief Executive Officer	Direct	Sell	11052025	163.90	62,682	10,273,557	87,417,183	Form
62	Pomel, Olivier	Chief Executive Officer	Direct	Sell	10242025	154.35	11,195	1,727,984	82,325,496	Form
63	Callahan, Michael James		Trust	Sell	10152025	160.55	8,333	1,337,838	2,006,195	Form
64	Shah, Shardul		Trust	Sell	10152025	162.58	7,916	1,286,955	59,250,809	Form
65	Pomel, Olivier	Chief Executive Officer	Direct	Sell	10082025	165.02	63,939	10,551,207	88,014,684	Form
66	Pomel, Olivier	Chief Executive Officer	Direct	Sell	10082025	165.01	25,620	4,227,449	88,007,163	Form
67	Pomel, Olivier	Chief Executive Officer	Direct	Sell	10082025	154.43	32,923	5,084,154	82,364,124	Form
68	Callahan, Michael James		Trust	Sell	10082025	157.60	91,667	14,446,939	1,969,400	Form
69	Agarwal, Amit		Trust	Sell	10032025	150.08	45,444	6,820,140	246,128	Form
70	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	10032025	150.04	2,924	438,725	28,801,747	Form
71	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	10032025	150.94	41,468	6,259,029	66,243,699	Form
72	Pomel, Olivier	Chief Executive Officer	Direct	Sell	9242025	137.94	11,195	1,544,269	73,572,885	Form
73	Agarwal, Amit		Trust	Sell	9192025	135.23	18	2,434	221,777	Form
74	Agarwal, Amit		Trust	Sell	9192025	134.36	10,094	1,356,209	220,347	Form
75	Agarwal, Amit		Trust	Sell	9162025	134.80	33,333	4,493,190	221,067	Form
76	Agarwal, Amit		Trust	Sell	9162025	138.34	44,444	6,148,308	226,875	Form
77	Shah, Shardul		Trust	Sell	9162025	137.78	7,916	1,090,673	51,304,761	Form
78	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	9152025	139.62	6,821	952,344	27,209,159	Form
79	Pomel, Olivier	Chief Executive Officer	Direct	Sell	9102025	135.74	32,923	4,468,848	72,396,074	Form
80	Acocella, Kerry	General Counsel and Secretary	Direct	Sell	9092025	134.72	3,958	533,219	12,585,347	Form
81	Blitzer, Adam	Chief Operating Officer	Direct	Sell	9042025	132.13	7,950	1,050,470	24,012,566	Form
82	Obstler, David M	Chief Financial Officer	Direct	Sell	9042025	133.85	12,619	1,689,020	51,752,231	Form
83	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	9042025	133.85	10,622	1,421,722	26,997,187	Form
84	Galloreese, David	Chief People Officer	Direct	Sell	9042025	133.85	2,577	344,923	10,695,840	Form
85	Pomel, Olivier	Chief Executive Officer	Direct	Sell	9042025	133.85	15,357	2,055,491	71,388,475	Form
86	Li, Yanbing	Chief Product Officer	Direct	Sell	9042025	133.85	25,010	3,347,516	27,577,187	Form
87	Blitzer, Adam	Chief Operating Officer	Direct	Sell	9042025	133.85	8,581	1,148,543	25,387,869	Form
88	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	9032025	133.83	55,352	7,407,864	58,736,822	Form
89	Acocella, Kerry	General Counsel and Secretary	Direct	Sell	9032025	133.85	5,142	688,244	13,033,668	Form
90	Acocella, Kerry	General Counsel and Secretary	Direct	Sell	9032025	139.96	12,971	1,815,421	14,348,559	Form
91	Pomel, Olivier	Chief Executive Officer	Direct	Sell	8292025	130.00	11,195	1,455,350	71,332,950	Form
92	Jacobson, Matthew		ICONIQ Strategic Partners VI, L.P.	Sell	8282025	130.01	43,520	5,658,142	22,922,624	Form
93	Jacobson, Matthew		ICONIQ Strategic Partners VI-B, L.P.	Sell	8282025	130.01	64,128	8,337,582	33,778,465	Form
94	Jacobson, Matthew		ICONIQ Strategic Partners VI, L.P.	Sell	8282025	126.96	232,809	29,557,355	27,909,672	Form
95	Jacobson, Matthew		ICONIQ Strategic Partners VI-B, L.P.	Sell	8282025	126.96	343,054	43,553,918	41,126,328	Form
96	Jacobson, Matthew		ICONIQ Strategic Partners VI, L.P.	Sell	8262025	128.60	24,243	3,117,754	58,211,450	Form
97	Jacobson, Matthew		ICONIQ Strategic Partners VI-B, L.P.	Sell	8262025	128.60	35,722	4,594,003	85,777,396	Form
98	Jacobson, Matthew		ICONIQ Strategic Partners VI, L.P.	Sell	8262025	132.01	19,859	2,621,589	62,953,373	Form
99	Jacobson, Matthew		ICONIQ Strategic Partners VI-B, L.P.	Sell	8262025	132.01	29,264	3,863,144	92,764,685	Form
100	Pomel, Olivier	Chief Executive Officer	Direct	Sell	8122025	130.38	32,923	4,292,337	71,538,733	Form
101	Cole, Titilope		Direct	Sell	8122025	136.59	2,210	301,864	866,937	Form
102	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	8072025	134.47	41,468	5,576,005	60,881,692	Form
103	Pomel, Olivier	Chief Executive Officer	Direct	Sell	7302025	150.82	11,195	1,688,462	82,758,767	Form
104	Shah, Shardul		Trust	Sell	7172025	140.80	7,924	1,115,703	53,543,747	Form
105	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	7162025	139.27	41,468	5,775,377	63,058,547	Form
106	Pomel, Olivier	Chief Executive Officer	Direct	Sell	7102025	146.05	32,924	4,808,516	80,139,254	Form
107	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	7082025	150.00	9,469	1,420,350	31,848,600	Form
108	Obstler, David M	Chief Financial Officer	Direct	Sell	7082025	147.43	15,000	2,211,450	58,864,376	Form
109	Obstler, David M	Chief Financial Officer	Direct	Sell	7022025	135.25	15,000	2,028,750	54,001,268	Form
110	Pomel, Olivier	Chief Executive Officer	Direct	Sell	6262025	131.88	100,754	13,286,956	72,361,912	Form
111	Agarwal, Amit		Direct	Sell	6262025	130.87	23,058	3,017,521	4,095,861	Form
112	Obstler, David M	Chief Financial Officer	Direct	Sell	6232025	130.25	15,000	1,953,750	52,004,918	Form
113	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	6182025	125.00	9,468	1,183,500	27,724,125	Form
114	Obstler, David M	Chief Financial Officer	Direct	Sell	6182025	125.25	20,000	2,505,000	50,008,568	Form
115	Shah, Shardul		Trust	Sell	6182025	120.86	7,916	956,728	46,918,456	Form
116	Agarwal, Amit		Direct	Sell	6132025	119.46	25,000	2,986,558	6,493,494	Form
117	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	6132025	119.49	4,170	498,268	27,633,110	Form
118	Pomel, Olivier	Chief Executive Officer	Direct	Sell	6112025	121.71	107,365	13,067,746	66,785,899	Form
119	Obstler, David M	Chief Financial Officer	Direct	Sell	6062025	120.25	20,000	2,405,000	48,012,218	Form
120	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	6062025	119.96	127,105	15,247,342	54,313,551	Form
121	Shah, Shardul		Trust	Sell	6052025	120.00	23,748	2,849,760	47,534,520	Form
122	Blitzer, Adam	Chief Operating Officer	Direct	Sell	6042025	118.24	14,710	1,739,324	23,442,327	Form
123	Pomel, Olivier	Chief Executive Officer	Direct	Sell	6042025	116.84	15,227	1,779,138	64,112,409	Form
124	Acocella, Kerry	General Counsel and Secretary	Direct	Sell	6042025	116.84	5,099	595,772	13,493,967	Form
125	Galloreese, David	Chief People Officer	Direct	Sell	6042025	116.84	10,216	1,193,648	9,637,980	Form
126	Walters, Sean Michael	Chief Revenue Officer	Direct	Sell	6042025	116.84	11,167	1,304,763	27,507,993	Form
127	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	6042025	116.84	13,766	1,608,433	52,901,983	Form
128	Obstler, David M	Chief Financial Officer	Direct	Sell	6042025	117.40	35,016	4,111,048	46,876,233	Form
129	Blitzer, Adam	Chief Operating Officer	Direct	Sell	6042025	116.84	15,603	1,823,070	24,883,511	Form
130	Agarwal, Amit		Direct	Sell	5302025	117.02	25,000	2,925,506	8,899,623	Form
131	Agarwal, Amit		Direct	Sell	5162025	118.67	25,000	2,966,630	9,768,994	Form
132	Jacobson, Matthew		ICONIQ Strategic Partners II, L.P.	Sell	5092025	107.61	49,340			Form
133	Jacobson, Matthew		ICONIQ Strategic Partners II-B, L.P.	Sell	5092025	107.61	38,624			Form
134	Jacobson, Matthew		ICONIQ Strategic Partners III, L.P.	Sell	5092025	107.61	35,413			Form
135	Jacobson, Matthew		ICONIQ Strategic Partners III-B, L.P.	Sell	5092025	107.61	37,839			Form
136	Jacobson, Matthew		ICONIQ Strategic Partners IV, L.P.	Sell	5092025	107.61	25,468			Form
137	Le-Quoc, Alexis	Chief Technology Officer	Direct	Sell	5092025	105.83	127,105	13,451,672	49,373,950	Form
138	Jacobson, Matthew		ICONIQ Strategic Partners II, L.P.	Sell	5092025	107.40	12,503	1,342,773	5,298,924	Form
139	Jacobson, Matthew		ICONIQ Strategic Partners II-B, L.P.	Sell	5092025	107.40	9,787	1,051,086	4,148,067	Form
140	Jacobson, Matthew		ICONIQ Strategic Partners III, L.P.	Sell	5092025	107.40	8,974	963,773	3,803,218	Form
141	Jacobson, Matthew		ICONIQ Strategic Partners III-B, L.P.	Sell	5092025	107.40	9,588	1,029,714	4,063,761	Form
142	Jacobson, Matthew		ICONIQ Strategic Partners IV, L.P.	Sell	5092025	107.40	6,454	693,134	2,735,164	Form
143	Pomel, Olivier	Chief Executive Officer	Direct	Sell	5052025	105.71	107,365	11,349,917	59,579,849	Form
144	Agarwal, Amit		Direct	Sell	5052025	105.49	75,000	7,911,485	8,684,068	Form

DDOG Trade Sentinel

Stock Conviction

ACCUMULATE (Score 7-8)

CONVICTION RATIONALE

Datadog earns a high conviction score due to its potent combination of accelerating growth and a widening competitive moat. The company is a primary beneficiary of the two most important trends in IT: cloud migration and AI adoption. Leading indicators like 51% RPO growth provide strong visibility that the current momentum is sustainable. While the valuation is high, it appears justified by the superior operational execution and powerful secular tailwinds. The stock is a core holding for a growth-oriented portfolio.

STOCK ARCHETYPE

Primary: 'High-Beta Compounder' (70%), Secondary: 'Transition / Profit Pivot' (30%)

Datadog exhibits classic 'High-Beta Compounder' traits with accelerating, premium revenue growth (32% YoY) and a high valuation. The secondary 'Transition' archetype is assigned due to its strong and growing free cash flow generation (29% FCF Margin), indicating a simultaneous focus on achieving profitability at scale.

Looking for high-conviction positions with a better risk/reward profile? See what's currently in the Trefis High Quality Portfolio.

INVESTMENT THESIS

AI Workload Adoption & Platform Consolidation Driving Growth Re-acceleration in 2026

The primary long thesis is that Datadog is capturing a second secular growth wave from AI-driven workloads, which complements the ongoing cloud migration trend. This is causing an acceleration in revenue growth, visible in both leading (RPO) and lagging (revenue) indicators. This demand, combined with enterprise desire to consolidate tools, allows Datadog to expand its footprint and pricing power within its established customer base.

Mechanism: Datadog captures value by charging for its monitoring and security platform based on usage (data ingestion, hosts, etc.). The increasing complexity of AI applications requires more intensive monitoring (e.g., GPU performance, model tracing), driving higher consumption. Concurrently, CIOs are replacing multiple niche tools with Datadog's single unified platform, increasing Datadog's share of the IT budget.

Supporting Evidence:

Revenue growth accelerated to 32% YoY in Q1 2026, up from 29% in the prior quarter.
Remaining Performance Obligations (RPO), a measure of future contracted revenue, grew 51% YoY in Q1 2026.
The number of customers with ARR >$100k grew 20.7% YoY, and Net Revenue Retention increased to the 'low 120s%'.
The company landed seven and eight-figure deals with hyperscale AI labs specifically for new products like GPU Monitoring.

PRIMARY RISK

Hyperscaler Native Tool Bundling & Customer Cost Optimization Compressing Growth

The primary risk is that major cloud providers (AWS, Azure, GCP) successfully bundle their 'good enough' native observability tools with core cloud services, creating a pricing and integration advantage that slows Datadog's new customer acquisition. This is coupled with the risk that existing customers, facing high data-ingestion costs, aggressively optimize their usage, which would pressure Datadog's 'land-and-expand' model and slow its Net Revenue Retention rate.

Mechanism: This thesis breaks if hyperscalers' native tools become sufficiently advanced and attractively priced (or free) to convince enterprise customers to forego Datadog's best-in-class unified platform. This would lead to higher churn, lower new logo wins, and slower expansion revenue, causing growth to decelerate faster than the market expects and triggering a significant multiple compression.

Supporting Evidence:

Hyperscaler native tools are classified as a 'STRUCTURAL' threat in the company's own competitive analysis.
The 'primary_bear_case' identifies rising observability costs leading to customers filtering data to control spending.
Datadog's usage-based pricing model can lead to large, unexpected bills, creating a catalyst for customers to explore lower-cost alternatives.

Key KPI Watchlist

KPI	Threshold	Rationale
Remaining Performance Obligations (RPO) Growth (YoY)	>40%	This is the best leading indicator of future revenue. As long as it significantly outpaces current revenue growth, the bull thesis of durable acceleration remains intact.
Net Revenue Retention (NRR)	Stable or increasing above 120%	Measures the health of the 'expand' motion. A stable or rising NRR proves Datadog is successfully fighting cost-optimization headwinds and cross-selling into its base.
Customers with ARR >$100,000 Growth (YoY)	>20%	This signals successful penetration into the enterprise market, which is critical for long-term growth and margin expansion. A slowdown here would be a major red flag.

Core Investment Debate

AI-Driven Acceleration vs. Hyperscaler Threat

BULL VIEW

Datadog is capturing a second secular growth wave from AI. Strong RPO growth of 51% signals durable revenue acceleration, justifying its premium valuation.

CORE TENSION

Can Datadog's AI-workload adoption and platform consolidation outpace the threat of hyperscalers bundling 'good enough' tools and customers optimizing costs?

PREVAILING SENTIMENT

BEARISH

The Bulls are currently winning based on Q1 2026 results: Revenue growth accelerated to 32% YoY, and leading indicator RPO growth surged to 51%.

BEAR VIEW

Cloud providers (AWS, Azure, GCP) are bundling native tools, pressuring pricing. Aggressive customer cost optimization will slow Net Revenue Retention below market expectations.

Next 6 months: Risks and Catalysts

Timeline	Event & Metric To Watch
Early August 2026	Q2 2026 Earnings Call Watch: Q3 and FY26 guidance. Watch for any deceleration from the >26% YoY growth implied by the last full-year guide. NRR must remain above 120%.
Early November 2026	Q3 2026 Earnings Call Watch: FY26 guidance revision and initial FY27 outlook. RPO growth must stay well above revenue growth (>40%) to support the premium multiple.
Q2/Q3 2026	Hyperscaler Competitive Actions Watch: Announcements of promotional pricing or free bundling of Google's new 'Agent Platform' or AWS native observability tools for large enterprise customers.
November 30, 2026	Catalyst Risk: AWS re:Invent 2026 Watch: AWS CEO keynote announcing a new, fully managed observability service deeply integrated with AI infrastructure (e.g., Bedrock) at a disruptive price point.

Key Events in Last 6 Months

Date	Event	Stock Impact
Dec 1, 2025	Competitor Event (AWS re:Invent) Details: Annual AWS conference where new product announcements for native tools like CloudWatch often create headline risk and competitive pressure for Datadog. [1, 3, 12]	Slight -1.3% pullback $160.01 -> $157.90
Feb 10, 2026	Q4 2025 Earnings Report Details: Reported Q4 revenue of $953M (+29% YoY) and EPS of $0.59, beating estimates. Growth in customers with >$1 million ARR was 31% YoY. [28]	Slight -1.8% pullback $129.67 -> $127.33
Feb 23, 2026	Sector-Wide Tech Selloff Details: Stock experienced a sharp decline amid a broader market rotation out of high-growth software stocks, driven by concerns over valuation and macro headwinds.	Plummeted -11.3% $115.66 -> $102.61
Apr 9, 2026	Competitor Product Announcement (Google Cloud Next) Details: Google announced consolidation of its observability and security tools into a single agent platform, signaling a more aggressive push into Datadog's core market.	Plummeted -6.5% $116.50 -> $108.98
May 6, 2026	FedRAMP High Certification Details: Achieved the highest federal security standard, opening up market for sensitive U.S. government data and workloads, a significant barrier to entry against competitors. [6, 10, 14]	Slight -1.4% pullback $145.73 -> $143.71
May 7, 2026	Q1 2026 Earnings & Guidance Raise Details: Reported accelerating revenue growth of 32% YoY and RPO growth of 51%. Customers with >$100k ARR grew 20.7%. Raised full-year 2026 revenue guidance by over $100M.	Stock surged +31.3% $143.71 -> $188.73

Risk Management

Position Sizing

1% - 3%

CONSERVATIVE

Stock is in an Explosive Volatility regime (5.5x S&P) with Spiking near-term fear. The calculated Bearish sentiment, driven by numerous forward risks, mandates a Conservative (1-3%) position despite a widening moat and high visibility.

Diversification Alternatives

CRWD

SECTOR

A pure-play leader in cybersecurity, another high-priority IT spending area. Offers a similar platform-based, land-and-expand model but with a different primary risk factor.

Core Thesis: CrowdStrike's cloud-native Falcon platform is the standard for endpoint security. Its AI-driven approach and expanding modules create a strong competitive moat in a secular growth market.

IOT

SECTOR

Taps into a different secular trend: the digitization of physical operations. Less direct competition from hyperscalers compared to Datadog's observability market.

Core Thesis: Samsara's Connected Operations Cloud provides a sticky, high-ROI platform for a large, underserved market. Strong growth in large customers ($100k+ ARR) drives durable revenue.

How Is The Market Pricing DDOG?

Datadog is solidifying its position as the unified observability and security platform for the cloud and AI era, transitioning from a monitoring tool to a mission-critical system of record for complex technology stacks.

Filter all news through the lens of platform consolidation and AI-driven workload adoption.

What will confirm the thesis

Growth in customers with ARR >$100k accelerating above 21% YoY; Net Revenue Retention re-accelerating toward the mid-120s; announcements of new large-scale AI customer wins; evidence of customers consolidating more modules (e.g., security, log management) onto the platform.

What will damage the thesis

Deceleration in large customer additions; Net Revenue Retention falling below 120%; named competitors (Dynatrace, Splunk) winning large enterprise deals citing price or feature gaps; major cloud providers (AWS, Azure, GCP) successfully bundling their native observability tools to displace Datadog.

Noise: Real but irrelevant to thesis

Generic announcements of new product features without customer adoption metrics; quarterly fluctuations in billings growth (management states revenue is a better indicator); individual analyst price target changes without a shift in underlying estimates.

Repricing Catalyst

The adoption of AI workloads is acting as a new secular growth driver alongside cloud migration. In Q1 2026, AI-native customers continued to outpace the rest of the business, and the company now serves 22 AI customers spending over $1M annually. This, combined with accelerating revenue growth (32% YoY in Q1 2026), is driving a re-evaluation of the company's long-term growth trajectory.

What DDOG Makes & Who Pays

TTM figures based on Q1 2026 Earnings Press Release, May 7, 2026

Unified Observability & Security Platform

$4.0B TTM (100% of Total) · 80.2% Margin

What It Is

A suite of monitoring products including: Infrastructure Monitoring, Application Performance Monitoring (APM), Log Management, Cloud Security Management (CSM), and Real User Monitoring (RUM).

Who Pays & How

Over 33,200 customers, ranging from startups to Fortune 500 companies, pay subscription fees to gain a unified view of their complex cloud environments, which reduces downtime and accelerates troubleshooting. About 4,550 of these customers generate over $100,000 in ARR each, accounting for ~90% of total ARR, indicating deep entrenchment in large enterprises. Switching costs are high due to deep integration, workflow dependencies, and historical data lock-in.

Subscription and usage-based Software-as-a-Service (SaaS). Pricing can be tied to hosts, containers, ingested logs, or number of users.

Competition

Splunk, Dynatrace, New Relic, and native tools from cloud providers (AWS CloudWatch, Google Cloud Operations, Azure Monitor).

Hyperscaler native tools offer deep integration and are often bundled with cloud services, creating a pricing advantage. Point solutions may offer deeper functionality in a specific niche.

Datadog's moat is its unified, easy-to-use platform that consolidates data from over 750 integrations, breaking down silos between Dev, Ops, and Security teams. This single-pane-of-glass approach reduces complexity and improves troubleshooting speed.

DDOG Evolution: Price Return by Era

20102016 · Founding & Infrastructure Focus

Bridging the DevOps Gap Private Company

Founded in 2010 by Olivier Pomel and Alexis Lê-Quôc to reduce friction between developer and operations teams. The company launched its initial cloud infrastructure monitoring service, gaining traction as enterprises began adopting cloud services and needed better visibility than legacy tools could provide.

20172019 · Platform Expansion & IPO

The Three Pillars of Observability +37% on first day of trading (Sep 2019)

Datadog expanded its platform significantly, adding Application Performance Monitoring (APM) in 2017 and Log Management in 2018, unifying the 'three pillars of observability'. This platform approach differentiated it from point solutions and culminated in a successful IPO on September 19, 2019, which raised $648 million.

20202025 · Hyper-Growth & Security Entry

Becoming the System of Record -58.73% (2022), +65.14% (2023)

Following its IPO, Datadog entered a period of rapid growth, expanding its product portfolio into cloud security, digital experience monitoring, and more, through both internal R&D and acquisitions. The company solidified its 'land-and-expand' model, driving multi-product adoption and becoming an essential platform for its rapidly growing enterprise customer base. The stock experienced significant volatility, with a major run-up followed by a correction in 2022.

2026Present · The AI & Consolidation Era

The Second Secular Growth Driver +32.18% (TTM as of May 2026)

Datadog established AI as a second major growth driver alongside cloud migration, launching specific tools like Bits AI and GPU Monitoring. The company crossed the $1 billion quarterly revenue milestone and demonstrated accelerating growth, signaling a new phase of expansion driven by the complexity of AI workloads and customers consolidating more of their tooling onto the Datadog platform.

Market Appears To Be Aligned With Core Thesis

Price structure is showing early stress, with SMA alignment beginning to break down. Relative to SPY: Performance in line with the broader market with no relative edge or drag in current window. Volume and momentum are strongly confirming. The institutional accumulation is evident and momentum is accelerating. Earnings history is strongly validating. The market rewarded the print and institutional follow-through confirms thesis re-rating is underway.

① Structure

-1

Structural pillar score (-4 to +4). Driven by trend regime, SMA cross events, proximity to 52W high, and relative strength vs SPY.

② Volume / Momentum

Volume/Momentum pillar score (-4 to +4). Driven by institutional footprint score, OBV divergence, and momentum character.

③ Catalyst

Catalyst pillar score (-4 to +4). Driven by earnings day reaction, 20D post-earnings drift, and post-earnings volume character.

Combined Score

7 / 12

1 Price Structure & Trend Potential Bottoming · Death Cross ▾

2 Momentum Accelerating ▾

3 Relative Strength vs. SPY Neutral Relative Strength ▾

4 Institutional Footprint & Volume Mild Accumulation ▾

5 Volatility Expanded ▾

6 Key Price Levels Range · Vol Rising ▾

7 Earnings Reaction History Consistent Reward ▾

8 How the Verdict Is Derived Three Pillars ▾

Pillar	Score
① Structure	-1
② Vol / Mom	+4
③ Catalyst	+4

ℹ Bull Pillars: 2 · Bear Pillars: 1 · Combined Score: 7 → Market Appears To Be Aligned With Core Thesis

External Quote Links

0	Y Finance	Barrons
1	TradingView	Morningstar
2	SeekingAlpha	ValueLine
3	Motley Fool	Robinhood
4	CNBC	Etrade
5	MarketWatch	Unusual Whales
6	YCharts	Perplexity Finance
7	FinViz

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Datadog (DDOG)

Market Price (5/12/2026): $201.57 | Market Cap: $71.2 BilSector: Information Technology | Industry: Application Software

Datadog (DDOG)

Market Price (5/12/2026): $201.57Market Cap: $71.2 BilSector: Information TechnologyIndustry: Application Software

Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.

Valuation, Metrics & Events

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Why The Stock Moved

Qualitative Assessment

Stock Movement Drivers

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Fundamental Drivers

Market Drivers

Fundamental Drivers

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In The Past

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In The Past

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About Datadog (DDOG)

Datadog (DDOG) Addressable Market Sizes

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Interactive Breakdown

Better Bets vs. Datadog (DDOG)

INDUSTRY: Application Software

Higher Rev Chg 3Y Avg | Lower P/S (Values for DDOG: 27.0% | 19.5x)

Higher Rev Chg LTM (Value for DDOG: 29.5%)

Higher Rev Chg 3Y Avg (Value for DDOG: 27.0%)

Higher Op Mgn LTM (Value for DDOG: -0.7%)

Higher CFO/Rev LTM (Value for DDOG: 30.3%)

Higher FCF/Rev LTM (Value for DDOG: 26.1%)

Higher Total Yield (Value for DDOG: 0.2%)

SECTOR: Information Technology

Higher Rev Chg 3Y Avg | Lower P/S (Values for DDOG: 27.0% | 19.5x)

Higher Rev Chg LTM (Value for DDOG: 29.5%)

Higher Rev Chg 3Y Avg (Value for DDOG: 27.0%)

Higher Op Mgn LTM (Value for DDOG: -0.7%)

Higher CFO/Rev LTM (Value for DDOG: 30.3%)

Higher FCF/Rev LTM (Value for DDOG: 26.1%)

Higher Total Yield (Value for DDOG: 0.2%)

All Other Sectors

Higher Rev Chg 3Y Avg | Lower P/S (Values for DDOG: 27.0% | 19.5x)

Higher Rev Chg LTM (Value for DDOG: 29.5%)

Higher Rev Chg 3Y Avg (Value for DDOG: 27.0%)

Higher Op Mgn LTM (Value for DDOG: -0.7%)

Higher CFO/Rev LTM (Value for DDOG: 30.3%)

Higher FCF/Rev LTM (Value for DDOG: 26.1%)

Higher Total Yield (Value for DDOG: 0.2%)

Best Bets in Information Technology

P/EBIT (Value for DDOG: 430.2x)

P/E (Value for DDOG: 526.8x)

Rev Chg 3Y Avg (Value for DDOG: 27.0%)

Rev Chg LTM (Value for DDOG: 29.5%)

Rev Chg Q (Value for DDOG: 32.2%)

FCF/Rev 3Y Avg (Value for DDOG: 28.4%)

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Market Price (5/12/2026): $201.57 | Market Cap: $71.2 Bil
Sector: Information Technology | Industry: Application Software

Market Price (5/12/2026): $201.57
Market Cap: $71.2 Bil
Sector: Information Technology
Industry: Application Software