Tearsheet

Dynatrace (DT)


Market Price (12/26/2025): $43.75 | Market Cap: $13.2 Bil
Sector: Information Technology | Industry: Application Software

Dynatrace (DT)


Market Price (12/26/2025): $43.75
Market Cap: $13.2 Bil
Sector: Information Technology
Industry: Application Software

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


0 Attractive cash flow generation
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 27%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 26%
Weak multi-year price returns
2Y Excs Rtn is -67%, 3Y Excs Rtn is -64%
Significant share based compensation
SBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 16%
1 Low stock price volatility
Vol 12M is 33%
  Key risks
DT key risks include [1] potential deceleration of revenue growth and booking unpredictability due to intense competition, Show more.
2 Megatrend and thematic drivers
Megatrends include Cloud Computing, Artificial Intelligence, and Cybersecurity. Themes include Software as a Service (SaaS), Show more.
  
0 Attractive cash flow generation
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 27%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 26%
1 Low stock price volatility
Vol 12M is 33%
2 Megatrend and thematic drivers
Megatrends include Cloud Computing, Artificial Intelligence, and Cybersecurity. Themes include Software as a Service (SaaS), Show more.
3 Weak multi-year price returns
2Y Excs Rtn is -67%, 3Y Excs Rtn is -64%
4 Significant share based compensation
SBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 16%
5 Key risks
DT key risks include [1] potential deceleration of revenue growth and booking unpredictability due to intense competition, Show more.

Valuation, Metrics & Events

DT Stock


Why The Stock Moved


Qualitative Assessment

AI Analysis | Feedback



1. Dynatrace experienced a stock decline of 5% on November 6, 2025, following Goldman Sachs lowering its price target to $59 while maintaining a Buy rating. This movement was attributed to mixed signals, including on-demand consumption (ODC) revenue falling short of expectations.

2. The shortfall in on-demand consumption (ODC) revenue was a key concern. Dynatrace's ODC revenue of $7 million in fiscal Q2 2026 did not meet the anticipated $8-10 million, with this underperformance attributed to higher-than-expected early expansion deals that shifted upside to net new annual recurring revenue (NNARR) rather than subscription revenue.

Show more

Stock Movement Drivers

Fundamental Drivers

The -10.0% change in DT stock from 9/25/2025 to 12/25/2025 was primarily driven by a -11.9% change in the company's P/E Multiple.
925202512252025Change
Stock Price ($)48.6043.75-9.98%
Change Contribution ByLTMLTM
Total Revenues ($ Mil)1776.811852.534.26%
Net Income Margin (%)27.75%27.33%-1.51%
P/E Multiple29.5926.06-11.92%
Shares Outstanding (Mil)300.15301.56-0.47%
Cumulative Contribution-9.98%

LTM = Last Twelve Months as of date shown

Market Drivers

9/25/2025 to 12/25/2025
ReturnCorrelation
DT-10.0% 
Market (SPY)4.9%32.4%
Sector (XLK)5.3%27.3%

Fundamental Drivers

The -20.4% change in DT stock from 6/26/2025 to 12/25/2025 was primarily driven by a -23.4% change in the company's P/E Multiple.
626202512252025Change
Stock Price ($)54.9343.75-20.35%
Change Contribution ByLTMLTM
Total Revenues ($ Mil)1698.681852.539.06%
Net Income Margin (%)28.47%27.33%-4.03%
P/E Multiple34.0026.06-23.35%
Shares Outstanding (Mil)299.39301.56-0.72%
Cumulative Contribution-20.36%

LTM = Last Twelve Months as of date shown

Market Drivers

6/26/2025 to 12/25/2025
ReturnCorrelation
DT-20.4% 
Market (SPY)13.1%29.4%
Sector (XLK)16.7%22.9%

Fundamental Drivers

The -20.6% change in DT stock from 12/25/2024 to 12/25/2025 was primarily driven by a -74.1% change in the company's P/E Multiple.
1225202412252025Change
Stock Price ($)55.0743.75-20.56%
Change Contribution ByLTMLTM
Total Revenues ($ Mil)1563.291852.5318.50%
Net Income Margin (%)10.44%27.33%161.67%
P/E Multiple100.5526.06-74.08%
Shares Outstanding (Mil)298.09301.56-1.16%
Cumulative Contribution-20.57%

LTM = Last Twelve Months as of date shown

Market Drivers

12/25/2024 to 12/25/2025
ReturnCorrelation
DT-20.6% 
Market (SPY)15.8%58.7%
Sector (XLK)22.2%56.3%

Fundamental Drivers

The 17.4% change in DT stock from 12/26/2022 to 12/25/2025 was primarily driven by a 909.4% change in the company's Net Income Margin (%).
1226202212252025Change
Stock Price ($)37.2843.7517.36%
Change Contribution ByLTMLTM
Total Revenues ($ Mil)1039.951852.5378.14%
Net Income Margin (%)2.71%27.33%909.36%
P/E Multiple380.2526.06-93.15%
Shares Outstanding (Mil)287.19301.56-5.00%
Cumulative Contribution17.06%

LTM = Last Twelve Months as of date shown

Market Drivers

12/26/2023 to 12/25/2025
ReturnCorrelation
DT-21.7% 
Market (SPY)48.3%48.5%
Sector (XLK)53.5%44.3%

Return vs. Risk


Price Returns Compared

 202020212022202320242025Total [1]
Returns
DT Return71%39%-37%43%-1%-20%73%
Peers Return85%37%-39%76%37%7%304%
S&P 500 Return16%27%-19%24%23%18%115%

Monthly Win Rates [3]
DT Win Rate75%58%42%58%50%33% 
Peers Win Rate65%65%33%67%67%53% 
S&P 500 Win Rate58%75%42%67%75%73% 

Max Drawdowns [4]
DT Max Drawdown-23%-8%-50%-6%-26%-24% 
Peers Max Drawdown-29%-16%-48%-6%-15%-29% 
S&P 500 Max Drawdown-31%-1%-25%-1%-2%-15% 


[1] Cumulative total returns since the beginning of 2020
[2] Peers: DDOG, CSCO, NOW, ESTC, AVGO. See DT 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] 2025 data is for the year up to 12/24/2025 (YTD)

How Low Can It Go

Unique KeyEventDTS&P 500
2022 Inflation Shock2022 Inflation Shock  
2022 Inflation Shock% Loss% Loss-61.8%-25.4%
2022 Inflation Shock% Gain to Breakeven% Gain to Breakeven161.6%34.1%
2022 Inflation ShockTime to BreakevenTime to BreakevenNot Fully Recovered days464 days
2020 Covid Pandemic2020 Covid Pandemic  
2020 Covid Pandemic% Loss% Loss-46.5%-33.9%
2020 Covid Pandemic% Gain to Breakeven% Gain to Breakeven86.9%51.3%
2020 Covid PandemicTime to BreakevenTime to Breakeven64 days148 days

Compare to ADSK, HIT, AIB, BMR, GIT

In The Past

Dynatrace's stock fell -61.8% during the 2022 Inflation Shock from a high on 10/22/2021. A -61.8% loss requires a 161.6% gain to breakeven.

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About Dynatrace (DT)

Dynatrace, Inc. provides a software intelligence platform for dynamic multi-cloud environments. It operates Dynatrace, a software intelligence platform for running and optimizing the applications and services. The company's products include AppMon that works in various application environments, such as Java, .NET, PHP, Node.js, GoLang, SQL, NoSQL, CICS, IMS, AWS Lambda, Google Cloud Functions, and Microsoft Azure Functions; and Classic Real User Monitoring. Its platform allows its customers to modernize and automate IT operations, develop and release software, and enhance user experiences. The company also offers implementation, consulting, and training services. Dynatrace, Inc. markets its products through a combination of direct sales team and a network of partners, including resellers, system integrators, and managed service providers. It serves customers in various industries comprising banking, insurance, retail, manufacturing, travel, and software. The company operates in North America, Europe, the Middle East, Africa, the Asia Pacific, and Latin America. Dynatrace, Inc. was founded in 2005 and is headquartered in Waltham, Massachusetts.

AI Analysis | Feedback

1. Like **Datadog** for AI-powered enterprise software and infrastructure problem-solving.

2. Like **New Relic** for automated, AI-driven digital experience and application optimization.

AI Analysis | Feedback

  • Application Performance Monitoring (APM): Monitors the performance and health of applications across various environments.
  • Infrastructure Monitoring: Provides insights into the performance and health of servers, containers, databases, and networks.
  • Digital Experience Monitoring (DEM): Tracks real user performance and synthetic transactions to ensure optimal end-user experience.
  • AIOps: Utilizes artificial intelligence and machine learning to automate operations, identify root causes, and predict issues.
  • Application Security: Offers runtime vulnerability detection and protection for applications in production.
  • Cloud Automation: Automates cloud operations and observability for dynamic cloud-native environments.

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Major Customers of Dynatrace (DT)

Dynatrace (DT) operates on a business-to-business (B2B) model, providing its software intelligence platform to large enterprises across diverse industries globally. The company's solutions are critical for monitoring and optimizing complex cloud environments, applications, and infrastructure for leading organizations.

Due to the highly diversified nature of its customer base—which includes a significant portion of the Fortune 100 and Fortune 500 companies—and standard client confidentiality practices, Dynatrace does not typically disclose specific individual customers that represent a "major" portion of its revenue (e.g., more than 10%). Its revenue is spread across thousands of global enterprises.

However, Dynatrace publicly features various prominent enterprise customers in its case studies, press releases, and conference presentations. These companies represent the caliber and type of major organizations that leverage Dynatrace's platform. Below are examples of publicly acknowledged enterprise customers:

  • SAP SE (NYSE: SAP): A leading German multinational software corporation known for its enterprise resource planning (ERP) software and other business solutions.
  • Vodafone Group Plc (NASDAQ: VOD): A British multinational telecommunications company, one of the largest mobile operators globally.
  • Siemens AG (OTC: SIEGY): A German multinational conglomerate corporation, the largest industrial manufacturing company in Europe, focused on industrial automation and digitalization.

These examples illustrate Dynatrace's focus on serving large, complex organizations across various sectors, including technology, telecommunications, and industrial manufacturing, helping them achieve digital transformation and operational excellence.

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Dynatrace (DT) relies on the following major cloud infrastructure suppliers:

  • Amazon Web Services (AWS), a subsidiary of Amazon (AMZN)
  • Google Cloud Platform (GCP), a division of Alphabet (GOOGL)
  • Microsoft Azure, a service of Microsoft (MSFT)

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Rick McConnell, Chief Executive Officer

Rick McConnell joined Dynatrace as CEO in December 2021. He is a technology executive with over three decades of experience leading and scaling high-growth companies. Prior to Dynatrace, he served as President and General Manager of Akamai Technologies' Security Technology Group, where he was instrumental in scaling the company's revenue past $3 billion and growing its security business significantly. Before Akamai, McConnell was part of the early leadership team at Cisco Systems, contributing to their multibillion-dollar Communications and Collaboration business. He joined Cisco through the acquisition of Latitude Communications, where he had served as President and Chief Executive Officer. This demonstrates his experience in managing other companies and selling one to an acquirer.

Jim Benson, Chief Financial Officer

Jim Benson serves as the Chief Financial Officer of Dynatrace. He joined Dynatrace as CFO in 2022.

Bernd Greifeneder, Chief Technology Officer and Founder

Bernd Greifeneder co-founded Dynatrace in Linz, Austria, in 2005. As CTO, he is responsible for Dynatrace's global product vision and platform. Dynatrace is his third successful venture, and he has over 15 years of engineering leadership experience. One of his previous companies, which focused on load-testing software, was acquired. He is a named inventor on 20 Dynatrace patents.

Steve Tack, Chief Product Officer

Steve Tack is the Chief Product Officer at Dynatrace, responsible for the company's product strategy and application. He has over 20 years of experience delivering innovative solutions. Prior to joining Dynatrace in July 2012, he held management positions in technical sales and engineering, including roles at Compuware as CTO of Application Performance Management and Vice President of Product Management. He was involved in Dynatrace's journey from being a division of a larger company to a spin-out, a private equity-backed firm, and eventually a publicly-traded company.

Colleen Kozak, Chief Transformation Officer

Colleen Kozak leads transformative business initiatives at Dynatrace, focusing on translating strategy into operational objectives. She brings over 20 years of high-tech operations experience and has a background in building and managing global teams and guiding organizations through changes. Before Dynatrace, she was Vice President of Strategy and Operations at Akamai Technologies, where she helped the company scale from $1 billion to nearly $3.5 billion in revenue.

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Key Risks to Dynatrace (DT)

  1. Intense Competition and Potential Deceleration of Revenue Growth: Dynatrace operates in a highly competitive and rapidly evolving market for observability and AIOps, facing significant threats from both large technology companies and cloud-native providers. This intense competition, combined with potential market saturation and slower customer adoption of new product modules, could lead to a deceleration in the company's Annual Recurring Revenue (ARR) growth. Dynatrace has experienced rapid revenue growth in recent periods, but there is no assurance this growth rate can be sustained. Analysts have also noted concerns over on-demand consumption (ODC) and the timing of large deal closures, which contribute to lower predictability of bookings and cash flow.
  2. Dependence on Strategic Partnerships and Subscription Model: Dynatrace's business model relies heavily on subscriptions and its ability to maintain and expand strategic partnerships with major cloud providers. The company's financial health is almost entirely tied to its subscription revenue and its ability to retain and grow customer usage. The upcoming renewals of key partnerships, such as the one with AWS, pose a risk, especially if these partners decide to intensify their own offerings in the observability space, potentially disrupting Dynatrace's revenue streams and market position.
  3. Risk of Failure to Innovate and Adapt to Evolving Technology: In the fast-moving observability sector, Dynatrace's long-term competitiveness depends on its continuous innovation and investment in research and development (R&D). A perceived lack of sufficient R&D investment or failure to keep pace with the rapid technological advancements and AI-driven solutions developed by rivals could result in Dynatrace losing its proprietary edge. The company's key revenue driver, Davis AI, is particularly susceptible to competitor innovation, making ongoing technological advancement critical for sustaining its market position and future growth prospects.

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  • The increasing maturity and widespread adoption of open-source observability frameworks and their commercial offerings. Tools like Prometheus, Grafana, Loki, Tempo, and OpenTelemetry, backed by commercial entities such as Grafana Labs and Elastic, are providing robust, enterprise-grade observability solutions. These offerings allow organizations to build flexible, often lower-cost observability stacks with reduced vendor lock-in, directly challenging Dynatrace's integrated proprietary software-as-a-service model.
  • The continued enhancement and deepening integration of native observability tools offered by major cloud providers. Cloud platforms such as AWS (CloudWatch, X-Ray), Microsoft Azure (Azure Monitor), and Google Cloud (Google Cloud Operations Suite) are rapidly expanding their monitoring, logging, and tracing capabilities. These native tools benefit from deep integration with the underlying cloud infrastructure, often present a lower incremental cost, and are becoming increasingly sophisticated, offering a compelling alternative for organizations heavily invested in a single cloud ecosystem.

AI Analysis | Feedback

The total addressable market (TAM) for Dynatrace's main products and services is estimated to be $65 billion globally. This market is segmented, with approximately $51 billion attributed to observability and $14 billion to security. Dynatrace's offerings center around an AI-powered observability platform that integrates observability, security, and automation.

AI Analysis | Feedback

Dynatrace (symbol: DT) is poised for future revenue growth over the next 2-3 years, driven by several key factors:

  1. Expansion of AI-powered Observability Platform: Dynatrace is strategically positioned as a leader in AI-powered observability, with ongoing innovation in its platform. The company emphasizes its third-generation platform, including capabilities like Grail, Smartscape, Davis, and Davis Copilot, to enable autonomous operations. The increasing market demand for AI capabilities as a primary criterion for selecting observability platforms is expected to drive adoption and consumption of Dynatrace’s offerings.
  2. Accelerated Growth in Log Management: Log management has been identified as Dynatrace's fastest-growing product category, with annualized consumption rapidly approaching $100 million and experiencing over 100% year-over-year growth. This segment is seen as a significant opportunity to disrupt legacy solutions by integrating logs with other observability data types.
  3. Increased Adoption of Dynatrace Platform Subscription (DPS) Licensing Model: The Dynatrace Platform Subscription (DPS) model is a crucial driver, with a substantial portion of the customer base and Annual Recurring Revenue (ARR) already utilizing this flexible and scalable approach (50% of customers and 70% of ARR as of Q2 FY26). Customers on the DPS model tend to adopt twice as many capabilities and exhibit nearly double the consumption growth rates compared to traditional licensing models, leading to greater platform adoption and upsell efficiency.
  4. New Customer Acquisition and Enterprise Expansion: Dynatrace is focused on acquiring high-quality new customers who demonstrate a strong propensity for future expansion. The company is experiencing accelerating consumption and adoption across its platform, resulting in an increasing average ARR per customer. Furthermore, Dynatrace continues to see momentum in large strategic deals and pipeline growth, benefiting from the broader trend of multi-cloud tool consolidation among enterprise clients.
  5. Strategic Partnerships: Collaborations with key ecosystem partners, such as ServiceNow, Atlassian, and GitHub, are expected to foster revenue growth. These partnerships aim to scale intelligent automation and enhance integrations, expanding Dynatrace’s reach and value proposition within complex enterprise IT environments. The company intends to further expand its strategic partner ecosystem, particularly with cloud-focused partnerships and hyperscaler cloud providers.

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Share Repurchases

  • Dynatrace initiated a $500 million share repurchase program on May 15, 2024.
  • From the program's inception in May 2024 through March 31, 2025, the company repurchased 3.4 million shares for $173 million.
  • As of September 30, 2025, Dynatrace had repurchased a total of 5.3 million shares for $268 million under this program.

Share Issuance

  • The company's 2019 Plan for equity compensation automatically increases the number of shares reserved for awards each April 1 by 4% of the outstanding common stock from the preceding March 31.
  • Shareholder interest experiences moderate dilution due to employee stock option incentive programs.
  • Insider and employee stock awards, such as RSUs and PSUs, lead to the issuance of common shares, as seen in a proposed sale of 90,000 shares valued at approximately $4.35 million in October 2025.

Outbound Investments

  • Dynatrace acquired SpectX, a high-speed parsing and query analytics company, on September 14, 2021.
  • On July 31, 2023, the company acquired Rookout, a developer-first observability platform.
  • Dynatrace expanded its portfolio by acquiring Metis, an AI-driven database observability platform, in March 2025, with sources indicating a value of "several tens of millions of dollars."

Capital Expenditures

  • Dynatrace's capital expenditures were approximately $29 million in fiscal year 2025 and approximately $32 million in fiscal year 2024. In prior years, capital expenditures included $31.73 million in a recent fiscal period, $21.54 million in another, and $17.70 million in a further preceding period.
  • The primary focus of capital expenditures is on continuous investment in research and development and innovation to extend technology and market leadership.
  • Key areas of investment include expanding the functionality of the Dynatrace platform, evolving AI capabilities, and developing next-generation log analytics offerings to address new market opportunities.

Better Bets than Dynatrace (DT)

Trade Ideas

Select ideas related to DT. For more, see Trefis Trade Ideas.

Unique KeyDateTickerCompanyCategoryTrade Strategy6M Fwd Rtn12M Fwd Rtn12M Max DD
ENPH_11302025_Dip_Buyer_High_CFO_Margins_ExInd_DE11302025ENPHEnphase EnergyDip BuyDB | 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
13.9%13.9%-0.9%
PD_11262025_Dip_Buyer_High_FCF_Yield_ExInd_DE_RevG11262025PDPagerDutyDip BuyDB | FCF Yield | Low D/EDip Buy with High Free Cash Flow Yield
Buying dips for companies with significant free cash flow yield (FCF / Market Cap) and reasonable debt / market cap
12.0%12.0%0.0%
CRM_11212025_Dip_Buyer_FCFYield11212025CRMSalesforceDip BuyDB | FCFY OPMDip Buy with High FCF Yield and High Margin
Buying dips for companies with high FCF yield and meaningfully high operating margin
17.0%17.0%-0.1%
HUBS_11212025_Dip_Buyer_High_CFO_Margins_ExInd_DE11212025HUBSHubSpotDip BuyDB | 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
11.9%11.9%0.0%
FIVN_11212025_Dip_Buyer_High_FCF_Yield_ExInd_DE_RevG11212025FIVNFive9Dip BuyDB | FCF Yield | Low D/EDip Buy with High Free Cash Flow Yield
Buying dips for companies with significant free cash flow yield (FCF / Market Cap) and reasonable debt / market cap
4.1%4.1%0.0%
DT_9192025_Monopoly_xInd_xCD_Getting_Cheaper09192025DTDynatraceMonopolyMY | 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
-9.6%-9.6%-10.2%

Recent Active Movers

More From Trefis

Peer Comparisons for Dynatrace

Peers to compare with:

Financials

DTDDOGCSCONOWESTCAVGOMedian
NameDynatraceDatadog Cisco Sy.ServiceN.Elastic Broadcom  
Mkt Price43.75138.0478.02152.5976.80350.22108.03
Mkt Cap13.248.1308.6158.48.21,657.6103.3
Rev LTM1,8533,21257,69612,6671,60963,8877,939
Op Inc LTM226-4312,9911,755-3426,075990
FCF LTM47386512,7333,90530226,9142,385
FCF 3Y Avg41369813,8793,20919021,3201,953
CFO LTM50798813,7444,84130627,5372,915
CFO 3Y Avg44178914,7364,01119421,8612,400

Growth & Margins

DTDDOGCSCONOWESTCAVGOMedian
NameDynatraceDatadog Cisco Sy.ServiceN.Elastic Broadcom  
Rev Chg LTM18.5%26.6%8.9%21.1%17.0%23.9%19.8%
Rev Chg 3Y Avg21.2%28.0%3.7%22.3%18.1%25.2%21.8%
Rev Chg Q18.1%28.4%7.5%21.8%15.9%28.2%20.0%
QoQ Delta Rev Chg LTM4.3%6.5%1.8%5.1%3.7%6.6%4.7%
Op Mgn LTM12.2%-1.3%22.5%13.9%-2.1%40.8%13.0%
Op Mgn 3Y Avg10.4%-1.1%24.2%11.2%-7.2%38.6%10.8%
QoQ Delta Op Mgn LTM0.9%-0.8%0.4%0.6%-0.2%1.8%0.5%
CFO/Rev LTM27.4%30.8%23.8%38.2%19.0%43.1%29.1%
CFO/Rev 3Y Avg28.0%30.3%26.1%37.9%13.3%44.1%29.2%
FCF/Rev LTM25.5%26.9%22.1%30.8%18.8%42.1%26.2%
FCF/Rev 3Y Avg26.3%26.8%24.6%30.3%13.1%43.0%26.6%

Valuation

DTDDOGCSCONOWESTCAVGOMedian
NameDynatraceDatadog Cisco Sy.ServiceN.Elastic Broadcom  
Mkt Cap13.248.1308.6158.48.21,657.6103.3
P/S7.115.05.312.55.125.99.8
P/EBIT58.5352.322.471.8319.463.967.9
P/E26.1450.829.991.5-74.971.750.8
P/CFO26.048.722.532.726.760.229.7
Total Yield3.8%0.2%5.4%1.1%-1.3%1.4%1.2%
Dividend Yield0.0%0.0%2.1%0.0%0.0%0.0%0.0%
FCF Yield 3Y Avg2.8%1.8%6.0%0.4%2.2%3.1%2.5%
D/E0.00.00.10.00.10.00.0
Net D/E-0.1-0.10.0-0.0-0.10.0-0.0

Returns

DTDDOGCSCONOWESTCAVGOMedian
NameDynatraceDatadog Cisco Sy.ServiceN.Elastic Broadcom  
1M Rtn-1.9%-13.2%2.2%-7.6%10.5%-8.9%-4.7%
3M Rtn-10.0%1.1%15.7%-16.9%-9.8%4.4%-4.4%
6M Rtn-20.4%5.3%14.5%-24.6%-7.0%30.1%-0.9%
12M Rtn-20.6%-7.0%33.7%-31.0%-25.9%47.4%-13.8%
3Y Rtn17.4%90.6%79.4%99.8%49.3%563.1%85.0%
1M Excs Rtn-3.7%-16.3%-1.0%-9.9%7.8%-10.5%-6.8%
3M Excs Rtn-14.9%-3.9%10.7%-21.9%-14.7%-0.6%-9.3%
6M Excs Rtn-33.2%-7.6%1.6%-37.4%-19.9%17.2%-13.8%
12M Excs Rtn-36.8%-24.5%19.9%-47.0%-42.8%43.6%-30.7%
3Y Excs Rtn-63.9%-0.1%-1.9%18.0%-35.6%484.9%-1.0%

Financials

Segment Financials

Revenue by Segment
$ Mil20252024202320222021
Single Segment1,4311,159   
Service  594745
Subscription  870655488
License   113
Total1,4311,159929704546


Net Income by Segment
$ Mil20252024202320222021
Single Segment155    
Total155    


Price Behavior

Price Behavior
Market Price$43.75 
Market Cap ($ Bil)13.2 
First Trading Date08/01/2019 
Distance from 52W High-29.9% 
   50 Days200 Days
DMA Price$46.41$49.17
DMA Trenddowndown
Distance from DMA-5.7%-11.0%
 3M1YR
Volatility28.0%32.8%
Downside Capture103.15119.19
Upside Capture30.7478.84
Correlation (SPY)31.2%58.7%
DT Betas & Captures as of 11/30/2025

 1M2M3M6M1Y3Y
Beta0.660.830.780.891.001.09
Up Beta-0.050.520.891.150.900.99
Down Beta1.310.910.990.771.111.31
Up Capture-8%42%14%34%74%91%
Bmk +ve Days12253873141426
Stock +ve Days9192856120385
Down Capture123%119%106%131%112%103%
Bmk -ve Days7162452107323
Stock -ve Days10223466124359

[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
 Comparison of DT With Other Asset Classes (Last 1Y)
 DTSector ETFEquityGoldCommoditiesReal EstateBitcoin
Annualized Return-18.3%26.7%19.2%71.9%8.9%6.0%-10.1%
Annualized Volatility32.6%27.6%19.5%19.3%15.3%17.1%35.0%
Sharpe Ratio-0.590.840.782.690.360.18-0.12
Correlation With Other Assets 56.4%58.9%-6.2%18.4%43.1%22.9%

ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
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Based On 5-Year Data
 Comparison of DT With Other Asset Classes (Last 5Y)
 DTSector ETFEquityGoldCommoditiesReal EstateBitcoin
Annualized Return0.5%19.0%14.9%18.7%11.7%4.8%32.7%
Annualized Volatility41.1%24.7%17.1%15.5%18.7%18.9%48.7%
Sharpe Ratio0.140.690.700.970.510.170.60
Correlation With Other Assets 55.2%55.2%4.6%13.1%37.8%29.1%

ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
 Comparison of DT With Other Asset Classes (Last 10Y)
 DTSector ETFEquityGoldCommoditiesReal EstateBitcoin
Annualized Return10.0%22.3%14.7%14.9%6.9%5.2%69.3%
Annualized Volatility46.4%24.2%18.0%14.8%17.6%20.8%55.8%
Sharpe Ratio0.380.840.700.830.310.220.90
Correlation With Other Assets 56.1%53.7%8.6%19.2%39.6%27.8%

ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How

Short Interest

Short Interest: As Of Date12152025
Short Interest: Shares Quantity7,291,148
Short Interest: % Change Since 113020257.7%
Average Daily Volume2,999,950
Days-to-Cover Short Interest2.43
Basic Shares Quantity301,558,000
Short % of Basic Shares2.4%

Earnings Returns History

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 Forward Returns
Earnings Date1D Returns5D Returns21D Returns
11/5/2025-4.5%-5.7%-10.4%
8/6/20250.0%-7.5%-1.5%
5/14/20255.9%5.4%6.9%
1/30/20250.7%5.4%-0.2%
11/7/2024-3.8%-5.0%3.2%
8/7/202414.7%17.1%21.7%
5/15/20242.8%4.0%0.3%
2/8/2024-7.6%-13.0%-22.8%
...
SUMMARY STATS   
# Positive131615
# Negative1189
Median Positive2.9%5.7%10.3%
Median Negative-6.4%-10.3%-10.4%
Max Positive15.9%25.3%23.5%
Max Negative-18.0%-17.7%-23.3%

SEC Filings

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Report DateFiling DateFiling
93020251105202510-Q 9/30/2025
6302025806202510-Q 6/30/2025
3312025522202510-K 3/31/2025
12312024130202510-Q 12/31/2024
93020241107202410-Q 9/30/2024
6302024807202410-Q 6/30/2024
3312024523202410-K 3/31/2024
12312023208202410-Q 12/31/2023
93020231102202310-Q 9/30/2023
6302023802202310-Q 6/30/2023
3312023525202310-K 3/31/2023
12312022201202310-Q 12/31/2022
93020221102202210-Q 9/30/2022
6302022803202210-Q 6/30/2022
3312022526202210-K 3/31/2022
12312021202202210-Q 12/31/2021