Tearsheet

NVIDIA (NVDA)


Market Price (3/15/2026): $180.16 | Market Cap: $4.4 Tril
Sector: Information Technology | Industry: Semiconductors

NVIDIA (NVDA)


Market Price (3/15/2026): $180.16
Market Cap: $4.4 Tril
Sector: Information Technology
Industry: Semiconductors

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

0 Strong revenue growth
Rev Chg LTMRevenue Change % Last Twelve Months (LTM) is 65%
Expensive valuation multiples
P/SPrice/Sales ratio is 20x
1 Attractive operating margins
Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 60%
 
2 Attractive cash flow generation
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 48%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 45%, CFO LTM is 103 Bil, FCF LTM is 97 Bil
 
3 Low stock price volatility
Vol 12M is 42%
 
4 Megatrend and thematic drivers
Megatrends include Artificial Intelligence, Autonomous Technologies, Electric Vehicles & Autonomous Driving, Automation & Robotics, Show more.
 
0 Strong revenue growth
Rev Chg LTMRevenue Change % Last Twelve Months (LTM) is 65%
1 Attractive operating margins
Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 60%
2 Attractive cash flow generation
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 48%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 45%, CFO LTM is 103 Bil, FCF LTM is 97 Bil
3 Low stock price volatility
Vol 12M is 42%
4 Megatrend and thematic drivers
Megatrends include Artificial Intelligence, Autonomous Technologies, Electric Vehicles & Autonomous Driving, Automation & Robotics, Show more.
5 Expensive valuation multiples
P/SPrice/Sales ratio is 20x

Valuation, Metrics & Events

Price Chart

Why The Stock Moved

Qualitative Assessment

AI Analysis | Feedback

NVIDIA (NVDA) stock has remained largely at the same level since 11/30/2025 because of the following key factors:

1. Exceptional Financial Performance and Strong Guidance. NVIDIA consistently surpassed analyst expectations with record revenues and strong profitability. For Q4 Fiscal 2026 (ended January 25, 2026), the company reported $68.1 billion in revenue, exceeding analyst estimates of $65-66 billion, and diluted earnings per share of $1.76, against a forecast of $1.52. Furthermore, NVIDIA provided an upbeat Q1 Fiscal 2027 revenue outlook of $78.0 billion at the midpoint, signaling an acceleration in growth to 77%.

2. Surging Data Center Revenue Driven by AI Demand. The Data Center segment was the primary growth engine, achieving record quarterly revenue of $62.3 billion in Q4 Fiscal 2026, marking a 75% year-over-year increase. This growth was propelled by "unprecedented" demand for NVIDIA's AI computing infrastructure and the rapid adoption of its new-generation Blackwell and Rubin GPUs.

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Stock Movement Drivers

Fundamental Drivers

The 1.8% change in NVDA stock from 11/30/2025 to 3/13/2026 was primarily driven by a 15.4% change in the company's Total Revenues ($ Mil).
(LTM values as of)113020253132026Change
Stock Price ($)176.98180.251.8%
Change Contribution By: 
Total Revenues ($ Mil)187,142215,93815.4%
Net Income Margin (%)53.0%55.6%4.9%
P/E Multiple43.436.5-15.9%
Shares Outstanding (Mil)24,32724,3020.1%
Cumulative Contribution1.8%

LTM = Last Twelve Months as of date shown

Market Drivers

11/30/2025 to 3/13/2026
ReturnCorrelation
NVDA1.8% 
Market (SPY)-3.1%66.8%
Sector (XLK)-4.4%77.0%

Fundamental Drivers

The 3.5% change in NVDA stock from 8/31/2025 to 3/13/2026 was primarily driven by a 30.7% change in the company's Total Revenues ($ Mil).
(LTM values as of)83120253132026Change
Stock Price ($)174.15180.253.5%
Change Contribution By: 
Total Revenues ($ Mil)165,218215,93830.7%
Net Income Margin (%)52.4%55.6%6.1%
P/E Multiple49.036.5-25.5%
Shares Outstanding (Mil)24,36624,3020.3%
Cumulative Contribution3.5%

LTM = Last Twelve Months as of date shown

Market Drivers

8/31/2025 to 3/13/2026
ReturnCorrelation
NVDA3.5% 
Market (SPY)3.0%63.6%
Sector (XLK)4.4%77.8%

Fundamental Drivers

The 44.3% change in NVDA stock from 2/28/2025 to 3/13/2026 was primarily driven by a 65.5% change in the company's Total Revenues ($ Mil).
(LTM values as of)22820253132026Change
Stock Price ($)124.88180.2544.3%
Change Contribution By: 
Total Revenues ($ Mil)130,497215,93865.5%
Net Income Margin (%)55.8%55.6%-0.4%
P/E Multiple42.036.5-13.1%
Shares Outstanding (Mil)24,48924,3020.8%
Cumulative Contribution44.3%

LTM = Last Twelve Months as of date shown

Market Drivers

2/28/2025 to 3/13/2026
ReturnCorrelation
NVDA44.3% 
Market (SPY)12.4%76.4%
Sector (XLK)21.9%86.1%

Fundamental Drivers

The 677.2% change in NVDA stock from 2/28/2023 to 3/13/2026 was primarily driven by a 700.5% change in the company's Total Revenues ($ Mil).
(LTM values as of)22820233132026Change
Stock Price ($)23.19180.25677.2%
Change Contribution By: 
Total Revenues ($ Mil)26,974215,938700.5%
Net Income Margin (%)16.2%55.6%243.4%
P/E Multiple130.836.5-72.1%
Shares Outstanding (Mil)24,63024,3021.3%
Cumulative Contribution677.2%

LTM = Last Twelve Months as of date shown

Market Drivers

2/28/2023 to 3/13/2026
ReturnCorrelation
NVDA677.2% 
Market (SPY)73.4%64.1%
Sector (XLK)104.5%79.0%

Return vs. Risk

Price Returns Compared

 202120222023202420252026Total [1]
Returns
NVDA Return125%-50%239%171%39%-0%1329%
Peers Return45%-42%85%25%41%2%178%
S&P 500 Return27%-19%24%23%16%-1%80%

Monthly Win Rates [3]
NVDA Win Rate58%42%75%75%67%67% 
Peers Win Rate62%38%65%53%52%47% 
S&P 500 Win Rate75%42%67%75%67%33% 

Max Drawdowns [4]
NVDA Max Drawdown-11%-62%-2%-4%-30%-8% 
Peers Max Drawdown-12%-49%-4%-20%-31%-11% 
S&P 500 Max Drawdown-1%-25%-1%-2%-15%-2% 


[1] Cumulative total returns since the beginning of 2021
[2] Peers: AMD, INTC, AVGO, QCOM, MRVL. See NVDA 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 3/13/2026 (YTD)

How Low Can It Go

Unique KeyEventNVDAS&P 500
2022 Inflation Shock2022 Inflation Shock  
2022 Inflation Shock% Loss% Loss-66.4%-25.4%
2022 Inflation Shock% Gain to Breakeven% Gain to Breakeven197.3%34.1%
2022 Inflation ShockTime to BreakevenTime to Breakeven223 days464 days
2020 Covid Pandemic2020 Covid Pandemic  
2020 Covid Pandemic% Loss% Loss-37.6%-33.9%
2020 Covid Pandemic% Gain to Breakeven% Gain to Breakeven60.2%51.3%
2020 Covid PandemicTime to BreakevenTime to Breakeven56 days148 days
2018 Correction2018 Correction  
2018 Correction% Loss% Loss-56.1%-19.8%
2018 Correction% Gain to Breakeven% Gain to Breakeven127.7%24.7%
2018 CorrectionTime to BreakevenTime to Breakeven417 days120 days
2008 Global Financial Crisis2008 Global Financial Crisis  
2008 Global Financial Crisis% Loss% Loss-85.1%-56.8%
2008 Global Financial Crisis% Gain to Breakeven% Gain to Breakeven570.2%131.3%
2008 Global Financial CrisisTime to BreakevenTime to Breakeven2,731 days1,480 days

Compare to AMD, INTC, AVGO, QCOM, MRVL

In The Past

NVIDIA's stock fell -66.4% during the 2022 Inflation Shock from a high on 11/29/2021. A -66.4% loss requires a 197.3% gain to breakeven.

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About NVIDIA (NVDA)

NVIDIA Corporation provides graphics, and compute and networking solutions in the United States, Taiwan, China, and internationally. The company's Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building 3D designs and virtual worlds. Its Compute & Networking segment provides Data Center platforms and systems for AI, HPC, and accelerated computing; Mellanox networking and interconnect solutions; automotive AI Cockpit, autonomous driving development agreements, and autonomous vehicle solutions; cryptocurrency mining processors; Jetson for robotics and other embedded platforms; and NVIDIA AI Enterprise and other software. The company's products are used in gaming, professional visualization, datacenter, and automotive markets. NVIDIA Corporation sells its products to original equipment manufacturers, original device manufacturers, system builders, add-in board manufacturers, retailers/distributors, independent software vendors, Internet and cloud service providers, automotive manufacturers and tier-1 automotive suppliers, mapping companies, start-ups, and other ecosystem participants. It has a strategic collaboration with Kroger Co. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.

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1. Intel for AI and advanced graphics chips.

2. The electric utility for AI and high-performance computing.

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  • GeForce GPUs: Graphics processing units primarily for gaming and personal computers.
  • GeForce NOW: A cloud-based game streaming service.
  • NVIDIA RTX/Quadro GPUs: Professional-grade graphics processing units for enterprise workstations and creative applications.
  • vGPU Software: Software enabling virtualized graphics and computing in cloud environments.
  • Omniverse Software: A platform for 3D design collaboration and building virtual worlds.
  • Data Center Platforms: Integrated hardware and software systems for AI, high-performance computing (HPC), and accelerated computing in data centers.
  • Mellanox Networking: High-performance networking and interconnect solutions for data centers and supercomputers.
  • Autonomous Driving Solutions: Comprehensive platforms, software, and development agreements for autonomous vehicles and AI-powered automotive cockpits.
  • Jetson Platforms: Compact, high-performance computing platforms for robotics and other embedded AI applications.
  • NVIDIA AI Enterprise: A software suite and framework for accelerating enterprise AI deployment and development.
  • Cryptocurrency Mining Processors (CMPs): Specialized processors designed for efficient cryptocurrency mining.

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NVIDIA Corporation (NVDA) primarily sells its products to other companies rather than directly to individuals. The company's customer base includes various enterprise segments as outlined in its description.

Based on the provided background and general market knowledge consistent with NVIDIA's operations, its major customers are found within the categories of Internet and Cloud Service Providers, Original Equipment Manufacturers (OEMs)/System Builders, and Automotive Manufacturers. While the background description lists categories of customers, the following are prominent examples of major companies within those categories that are widely recognized as significant customers of NVIDIA:

  • Microsoft Corp. (MSFT) - As a major cloud service provider (Azure) and enterprise software vendor, Microsoft utilizes NVIDIA's data center GPUs for AI, HPC, and cloud computing infrastructure.
  • Amazon.com Inc. (AMZN) - Through its Amazon Web Services (AWS) division, Amazon is a substantial consumer of NVIDIA's data center GPUs to power its cloud AI, machine learning, and high-performance computing services.
  • Alphabet Inc. (GOOGL) - Google Cloud Platform, a subsidiary of Alphabet, also heavily relies on NVIDIA's GPU technology for its AI workloads, data analytics, and various cloud services.
  • Dell Technologies Inc. (DELL) - As a leading OEM and system builder, Dell integrates NVIDIA's GPUs into its servers, workstations, and personal computers, catering to enterprise, professional visualization, and gaming markets.
  • Mercedes-Benz Group AG (MBG.DE) - Mercedes-Benz has a strategic partnership with NVIDIA for developing software-defined vehicles and next-generation in-car computing platforms, including AI Cockpit and autonomous driving solutions.

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Taiwan Semiconductor Manufacturing Company (TSM)

SK Hynix Inc. (000660.KS)

Samsung Electronics Co., Ltd. (005930.KS)

Micron Technology, Inc. (MU)

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The following are clear emerging threats for NVIDIA:

  • Major cloud service providers and hyperscalers developing their own custom AI accelerators and chips: Companies such as Google (TPUs), Amazon (Inferentia/Trainium), and Microsoft are investing significantly in designing specialized silicon tailored for AI and machine learning workloads within their own data centers. This strategic shift aims to optimize performance, reduce operational costs, and decrease reliance on third-party GPU manufacturers like NVIDIA for critical AI infrastructure.
  • Automotive manufacturers and autonomous driving companies designing their own custom AI and autonomous driving chips: A growing number of prominent automotive companies and autonomous vehicle developers are pursuing in-house development of specialized silicon for advanced driver-assistance systems (ADAS) and autonomous driving capabilities. This trend could reduce the market demand for NVIDIA's automotive AI platforms and solutions.

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Better Bets vs. NVIDIA (NVDA)

Latest Trefis Analyses

Trade Ideas

Select ideas related to NVDA.

Unique KeyDateTickerCompanyCategoryTrade Strategy6M Fwd Rtn12M Fwd Rtn12M Max DD
BMI_2282026_Insider_Buying_45D_2Buy_200K02282026BMIBadger MeterInsiderInsider Buys 45DStrong Insider Buying
Companies with multiple insider buys in the last 45 days
0.0%0.0%0.0%
VRNS_2282026_Insider_Buying_45D_2Buy_200K02282026VRNSVaronis SystemsInsiderInsider Buys 45DStrong Insider Buying
Companies with multiple insider buys in the last 45 days
0.0%0.0%0.0%
ITRI_2272026_Dip_Buyer_FCFYield02272026ITRIItronDip BuyDB | FCFY OPMDip Buy with High FCF Yield and High Margin
Buying dips for companies with high FCF yield and meaningfully high operating margin
0.0%0.0%0.0%
FSLR_2272026_Dip_Buyer_ValueBuy02272026FSLRFirst SolarDip BuyDB | P/E OPMDip Buy with Low PE and High Margin
Buying dips for companies with tame PE and meaningfully high operating margin
0.0%0.0%0.0%
PEGA_2272026_Dip_Buyer_ValueBuy02272026PEGAPegasystemsDip BuyDB | P/E OPMDip Buy with Low PE and High Margin
Buying dips for companies with tame PE and meaningfully high operating margin
0.0%0.0%0.0%
NVDA_12312022_Monopoly_xInd_xCD_Getting_Cheaper12312022NVDANVIDIAMonopolyMY | 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
189.5%239.0%-2.4%
NVDA_6302022_Dip_Buyer_High_CFO_Margins_ExInd_DE06302022NVDANVIDIADip 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
-3.6%179.3%-25.9%
NVDA_12312018_Dip_Buyer_High_CFO_Margins_ExInd_DE12312018NVDANVIDIADip 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
24.7%76.9%-4.1%

Recent Active Movers

Peer Comparisons

Peers to compare with:

Financials

NVDAAMDINTCAVGOQCOMMRVLMedian
NameNVIDIA Advanced.Intel Broadcom Qualcomm Marvell . 
Mkt Price180.25193.3945.77322.16129.8287.86155.03
Mkt Cap4,380.4314.6221.91,524.8138.975.2268.3
Rev LTM215,93834,63952,85363,88744,8677,79348,860
Op Inc LTM130,3873,694-2326,07512,2051,1477,950
FCF LTM96,6766,735-4,94926,91412,9261,5779,830
FCF 3Y Avg61,5173,420-11,62821,32011,8501,2807,635
CFO LTM102,7187,7099,69727,53714,3901,89112,044
CFO 3Y Avg64,9664,1399,81921,86113,1281,59311,473

Growth & Margins

NVDAAMDINTCAVGOQCOMMRVLMedian
NameNVIDIA Advanced.Intel Broadcom Qualcomm Marvell . 
Rev Chg LTM65.5%34.3%-0.5%23.9%10.3%45.0%29.1%
Rev Chg 3Y Avg101.8%14.7%-5.5%25.2%2.3%12.3%13.5%
Rev Chg Q73.2%34.1%-4.1%28.2%5.0%36.8%31.1%
QoQ Delta Rev Chg LTM15.4%8.2%-1.1%6.6%1.3%7.7%7.2%
Op Mgn LTM60.4%10.7%-0.0%40.8%27.2%14.7%21.0%
Op Mgn 3Y Avg59.0%6.8%-3.0%38.6%26.1%-1.2%16.5%
QoQ Delta Op Mgn LTM1.5%1.3%0.2%1.8%-0.8%8.7%1.4%
CFO/Rev LTM47.6%22.3%18.3%43.1%32.1%24.3%28.2%
CFO/Rev 3Y Avg47.6%13.8%18.4%44.1%32.3%25.8%29.1%
FCF/Rev LTM44.8%19.4%-9.4%42.1%28.8%20.2%24.5%
FCF/Rev 3Y Avg45.3%11.2%-21.7%43.0%29.1%20.7%24.9%

Valuation

NVDAAMDINTCAVGOQCOMMRVLMedian
NameNVIDIA Advanced.Intel Broadcom Qualcomm Marvell . 
Mkt Cap4,380.4314.6221.91,524.8138.975.2268.3
P/S20.39.14.223.93.19.69.4
P/EBIT30.973.783.858.810.524.544.8
P/E36.572.6-831.165.925.930.433.4
P/CFO42.640.822.955.49.739.840.3
Total Yield2.8%1.4%-0.1%1.5%6.6%3.6%2.1%
Dividend Yield0.0%0.0%0.0%0.0%2.7%0.3%0.0%
FCF Yield 3Y Avg2.1%1.2%-9.2%2.4%6.9%1.8%1.9%
D/E0.00.00.20.00.10.10.1
Net D/E-0.0-0.00.00.00.00.00.0

Returns

NVDAAMDINTCAVGOQCOMMRVLMedian
NameNVIDIA Advanced.Intel Broadcom Qualcomm Marvell . 
1M Rtn-5.2%-9.5%-5.2%-6.0%-7.4%8.0%-5.6%
3M Rtn3.0%-8.3%21.1%-10.3%-26.7%4.1%-2.6%
6M Rtn1.4%22.0%90.1%-10.2%-18.9%30.6%11.7%
12M Rtn56.0%97.1%93.1%69.9%-12.6%28.2%62.9%
3Y Rtn649.7%121.1%67.4%432.8%19.3%130.1%125.6%
1M Excs Rtn-2.8%-7.1%-2.8%-3.6%-5.0%10.4%-3.2%
3M Excs Rtn-0.3%-11.0%13.8%-20.2%-26.7%-3.3%-7.2%
6M Excs Rtn-1.1%21.4%83.1%-13.0%-21.6%29.3%10.1%
12M Excs Rtn34.8%70.9%100.3%46.4%-34.1%5.2%40.6%
3Y Excs Rtn576.3%56.8%10.8%363.2%-55.0%36.1%46.5%

Comparison Analyses

Financials

Segment Financials

Revenue by Segment
$ Mil20262025202420232022
Compute & Networking116,19347,40515,06811,0466,841
Graphics14,30413,51711,90615,8689,834
All Other 00  
Total130,49760,92226,97426,91416,675


Operating Income by Segment
$ Mil20262025202420232022
Compute & Networking82,87532,0165,0834,5982,548
Graphics5,0855,8464,5528,4924,612
Acquisition-related and other costs-599    
Unallocated operating expenses-1,171    
Stock-based compensation expense-4,737    
All Other -4,890-5,411-3,049-2,628
Total81,45332,9724,22410,0414,532


Price Behavior

Price Behavior
Market Price$180.25 
Market Cap ($ Bil)4,380.4 
First Trading Date01/22/1999 
Distance from 52W High-12.9% 
   50 Days200 Days
DMA Price$185.45$177.37
DMA Trendupindeterminate
Distance from DMA-2.8%1.6%
 3M1YR
Volatility35.4%41.8%
Downside Capture179.84170.86
Upside Capture233.98183.67
Correlation (SPY)70.1%77.0%
NVDA Betas & Captures as of 2/28/2026

 1M2M3M6M1Y3Y
Beta2.362.082.111.981.732.06
Up Beta4.683.353.161.791.722.03
Down Beta0.721.592.131.961.651.84
Up Capture187%178%192%224%312%4366%
Bmk +ve Days9203170142431
Stock +ve Days10203163134411
Down Capture242%207%173%186%136%112%
Bmk -ve Days12213054109320
Stock -ve Days11213061117340

[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 NVDA
NVDA56.0%41.7%1.17-
Sector ETF (XLK)30.0%26.8%0.9586.2%
Equity (SPY)19.6%18.9%0.8177.0%
Gold (GLD)71.9%26.3%2.05-0.8%
Commodities (DBC)19.3%17.3%0.8925.6%
Real Estate (VNQ)6.2%16.3%0.1925.8%
Bitcoin (BTCUSD)-15.3%44.2%-0.2536.6%

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Based On 5-Year Data
Annualized
Return
Annualized
Volatility
Sharpe
Ratio
Correlation
with NVDA
NVDA73.3%51.8%1.25-
Sector ETF (XLK)17.7%24.7%0.6481.6%
Equity (SPY)13.1%17.0%0.6170.3%
Gold (GLD)24.1%17.3%1.145.8%
Commodities (DBC)11.2%19.0%0.4712.9%
Real Estate (VNQ)4.8%18.8%0.1630.8%
Bitcoin (BTCUSD)6.3%56.7%0.3332.0%

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Based On 10-Year Data
Annualized
Return
Annualized
Volatility
Sharpe
Ratio
Correlation
with NVDA
NVDA72.0%49.7%1.28-
Sector ETF (XLK)21.8%24.2%0.8276.3%
Equity (SPY)14.5%17.9%0.7065.3%
Gold (GLD)14.4%15.6%0.772.9%
Commodities (DBC)8.6%17.6%0.4017.0%
Real Estate (VNQ)5.6%20.7%0.2332.8%
Bitcoin (BTCUSD)67.4%66.8%1.0721.1%

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Short Interest

Short Interest: As Of Date2272026
Short Interest: Shares Quantity248.3 Mil
Short Interest: % Change Since 2152026-2.4%
Average Daily Volume190.3 Mil
Days-to-Cover Short Interest1.3 days
Basic Shares Quantity24,302.0 Mil
Short % of Basic Shares1.0%

Earnings Returns History

Expand for More
 Forward Returns
Earnings Date1D Returns5D Returns21D Returns
2/25/2026-5.5%-6.4% 
11/19/2025-3.2%-3.4%-1.5%
8/27/2025-0.8%-5.5%-1.9%
5/28/20253.2%5.3%17.0%
2/26/2025-8.5%-10.6%-15.1%
11/20/20240.5%-7.2%-7.7%
8/28/2024-6.4%-14.6%-3.3%
5/22/20249.3%16.4%24.4%
...
SUMMARY STATS   
# Positive131310
# Negative111113
Median Positive4.0%9.4%19.1%
Median Negative-5.5%-6.4%-3.3%
Max Positive24.4%30.2%35.5%
Max Negative-8.5%-14.6%-29.1%

SEC Filings

Expand for More
Report DateFiling DateFiling
01/31/202602/25/202610-K
10/31/202511/19/202510-Q
07/31/202508/27/202510-Q
04/30/202505/28/202510-Q
01/31/202502/26/202510-K
10/31/202411/20/202410-Q
07/31/202408/28/202410-Q
04/30/202405/29/202410-Q
01/31/202402/21/202410-K
10/31/202311/21/202310-Q
07/31/202308/28/202310-Q
04/30/202305/26/202310-Q
01/31/202302/24/202310-K
10/31/202211/18/202210-Q
07/31/202208/31/202210-Q
04/30/202205/27/202210-Q

Insider Activity

Expand for More
#OwnerTitleHoldingActionFiling DatePriceSharesTransacted
Value
Value of
Held Shares
Form
1Robertson, Donald F JrPrincipal Accounting OfficerDirectSell1062026189.8580,00015,187,74265,850,253Form
2Stevens, Mark ATrustSell12222025180.17222,50040,087,3801,373,141,944Form
3Robertson, Donald F JrPrincipal Accounting OfficerDirectSell12222025179.9824,5904,425,72776,826,583Form
4Jones, Harvey CH.C. Jones Living TrustSell12172025177.33250,00044,333,4501,229,504,889Form
5Shoquist, DeboraEVP, OperationsTrustSell12122025183.5280,00014,681,882288,947,330Form

NVDA Trade Sentinel


Stock Conviction

OVERWEIGHT (Score 9-10)

CONVICTION RATIONALE

The analysis yields a probability-adjusted skew of 3.27x, placing NVDA firmly in Tier 1. This high conviction rating is driven by the company's widening competitive moat, its central position in a powerful secular growth trend (AI), and the high probability (70%) assigned to the upside scenario where earnings momentum continues. The primary risk from custom silicon is considered a longer-term threat that is unlikely to derail the strong, visible growth trajectory over the next 12 months.

STOCK ARCHETYPE
High-Beta Compounder

NVIDIA's explosive, triple-digit revenue growth in its core Data Center segment, its position as the key enabler of the secular AI trend, and its high valuation multiples align perfectly with the 'High-Beta Compounder' archetype, where the primary focus is on growth durability and competitive moat.

INVESTMENT THESIS
Data Center Revenue Acceleration via Blackwell Platform Adoption and CUDA Software Moat

The primary driver for NVIDIA is the sustained, high-margin revenue growth from its Data Center segment. This is fueled by the industry-wide arms race to build AI infrastructure, the architectural performance leadership of its GPU platforms like Blackwell, and the deep, defensible moat created by its CUDA software ecosystem, which creates prohibitively high switching costs for customers.

Mechanism: NVIDIA captures value by selling high-ASP GPU/accelerator units (e.g., Blackwell) and integrated systems (DGX) to hyperscalers and enterprises. The CUDA software platform locks in developers and their trained models, ensuring a recurring demand cycle for NVIDIA hardware with each new architectural release. This creates immense pricing power.
Supporting Evidence:
  • Data Center revenue grew 66% YoY in the last reported quarter, accounting for nearly 90% of total sales.
  • The Blackwell platform provides up to 25x higher throughput for AI inference, drastically reducing TCO for customers and driving adoption.
  • The CUDA software ecosystem has an estimated 86% market share in the data center AI chip market, creating a powerful network effect and high switching costs.
  • Demand is outstripping supply well into FY2026, providing high near-term revenue visibility.
PRIMARY RISK
Hyperscaler Custom Silicon Development and Deployment at Scale

The most significant long-term risk is the accelerating development of in-house custom silicon (ASICs/TPUs) by NVIDIA's largest customers (Google, Amazon, etc.). These chips are optimized for their specific, high-volume workloads (like inference), potentially offering superior performance-per-watt and lower TCO, which could erode NVIDIA's market share within this critical customer segment over time.

Mechanism: If hyperscalers successfully shift a significant portion of their internal AI workloads (especially inference) to their own custom chips, it would reduce their demand for NVIDIA's general-purpose GPUs. This would lead to a deceleration in NVIDIA's core revenue growth, potential margin compression as pricing power wanes, and a narrative shift that breaks the 'AI arms dealer' monopoly thesis.
Supporting Evidence:
  • The 'Hyperscale Fleet Operator' is identified as a contested segment where in-house silicon presents a structural threat and a performance deficit for NVIDIA.
  • Major customers like Amazon (Trainium), Google (TPU), and others are actively developing and deploying their custom silicon solutions to reduce long-term vendor reliance.
  • Broadcom recently secured a $10 billion order for a custom AI chip, reportedly from OpenAI, signaling a diversification trend among major AI players.
Key KPI Watchlist
KPI Threshold Rationale
Data Center Revenue Growth (YoY)> 50%This is the primary growth engine. Any significant deceleration below this level would signal that the hyper-growth phase is maturing or facing headwinds, triggering a potential valuation re-rating.
Gross Margin (Non-GAAP)Stable above 71%Gross margins in the mid-70s are a key indicator of NVIDIA's pricing power and technological lead. A dip below guided levels could indicate rising competition or increased costs for new product ramps, impacting profitability.
Hyperscaler CapEx GuidanceNo major downward revisionsForward-looking commentary from Microsoft, Google, and Amazon on their AI infrastructure spending is the most critical leading indicator of future demand for NVIDIA's products. Any mention of a 'digestion period' or 'optimization' is a major red flag.
Core Investment Debate

The Hyperscale Growth 'Hand-Off'

BULL VIEW

The CUDA software moat and Blackwell performance create an insurmountable lead, ensuring NVIDIA captures the vast, untapped enterprise and sovereign AI markets, sustaining hyper-growth.

CORE TENSION

Can NVIDIA's growth, currently fueled by a massive hyperscaler buildout, transition to a durable enterprise and sovereign AI demand wave before capex budgets normalize and competition intensifies?


PREVAILING SENTIMENT
BULLISH

Data Center revenue grew 66% YoY in the last reported quarter, with CEO commentary stating 'Blackwell sales are off the charts, and cloud GPUs are sold out,' indicating extreme demand velocity.

BEAR VIEW

Hyperscaler capex will decelerate as 'good enough' custom silicon matures. China risk is material. Current growth rates and margins are unsustainable, leading to multiple compression.

Next 6 months: Risks and Catalysts
Timeline Event & Metric To Watch
Late February 2026
Q4 FY26 Earnings Call & Guidance
Watch: Forward guidance for Data Center revenue and commentary on hyperscaler CapEx trends. Any signs of demand 'digestion' or slowdown.
Next 3-6 Months
Competitor Benchmark Release (AMD, Google, Amazon)
Watch: Third-party validated benchmarks (e.g., MLPerf) showing superior price-to-performance for a competitor's chip on key AI models.
Anytime
Update on China and US Antitrust Investigations
Watch: Any official statement, fine, or ruling from the DOJ or Chinese regulators regarding NVIDIA's business practices.
H2 2026
Supply Chain Update on HBM4 Memory
Watch: Earnings calls from memory suppliers (SK Hynix, Samsung) signaling delays or yield issues with next-generation HBM4 production.
Key Events in Last 6 Months
Date Event Stock Impact
2025-08-12
Huawei Open-Sources CANN Software
Details: Huawei open-sourced its CANN software, a strategic move to build a domestic AI ecosystem around its Ascend chips, directly challenging NVIDIA's CUDA dominance in China.
Flat (0.6%)
$182.03 -> $183.13
2025-08-27
Q2 FY26 Earnings Release
Details: Reported revenue of $46.7B (up 56% YoY). Data Center revenue grew 17% sequentially. The positive results were met with a muted stock reaction.
Muted (-0.09%)
$181.74 -> $181.57
2025-09-15
China Announces Antitrust Investigation
Details: Chinese regulators announced an investigation into NVIDIA for potential anti-monopoly violations, adding a layer of regulatory risk in a key geopolitical region.
Changed Little (-0.04%)
$177.81 -> $177.74
2025-10-28
NVIDIA GTC Washington D.C. Keynote
Details: CEO Jensen Huang outlined a vision for AI infrastructure and U.S. technological leadership, reinforcing the company's strategic importance in national AI initiatives.
Rose significantly by 2.99%
$201.01 -> $207.02
2025-11-19
Q3 FY26 Earnings Release
Details: Reported record revenue of $57.0B (up 62% YoY), beating expectations. Data Center revenue hit $51.2B (up 66% YoY). Strong results driven by accelerating Blackwell demand.
Rose significantly by 2.84%
$181.34 -> $186.50
2026-01-15
U.S. Export Control Rules Formalized
Details: The U.S. government implemented a new licensing and fee-based system for sales of advanced chips to China, formalizing restrictions that create uncertainty for a key market.
Rose significantly by 2.13%
$183.14 -> $187.05
Risk Management
Position Sizing

4%-6%

NORMAL

Stock trades with explosive volatility (3.0x S&P 500). While fundamentals are strong and sentiment is Bullish, the expensive valuation and high volatility cap position size to manage drawdown risk.

Diversification Alternatives
AVGO
SECTOR

Offers broad AI exposure through its custom silicon business for clients like Google, but with a more diversified business model and less extreme valuation compared to NVIDIA.

Core Thesis: A best-in-class operator with strong moats in networking and custom chips, providing a more defensive way to invest in the AI infrastructure buildout.
ASML
SECTOR

ASML is a 'picks and shovels' monopoly on EUV lithography, essential for all advanced chip manufacturing. It is insulated from the chip-vs-chip competition faced by NVIDIA.

Core Thesis: As the sole supplier of a critical, irreplaceable technology, ASML's growth is tied to the entire semiconductor industry's capital expenditure cycle, not a single company's dominance.
How Is The Market Pricing NVDA?

NVIDIA is transitioning from a specialized graphics chip company into the foundational infrastructure provider for the Artificial Intelligence industrial revolution, capitalizing on its dominant hardware and entrenched software ecosystem.

Filter all news through the lens of AI infrastructure demand and competitive moat sustainability. Is the news accelerating, expanding, or threatening the demand for NVIDIA's full-stack computing platform?

What will confirm the thesis

Data Center revenue growth +70% YoY; hyperscaler CAPEX announcements explicitly mentioning GPU investment; named enterprise AI adoption case studies; performance benchmarks showing sustained leadership with new platforms (e.g., Blackwell, Rubin); expansion of the CUDA developer ecosystem.

What will damage the thesis

Slowing Data Center growth below guidance; major cloud customers (AWS, Google, Microsoft) announcing significant-scale deployment of in-house AI accelerators as a replacement for NVIDIA GPUs; tangible market share gains by competitors (e.g., AMD's MI-series) in flagship accounts; any sign of gross margin compression due to pricing pressure.

Noise: Real but irrelevant to thesis

Quarterly fluctuations in the Gaming or Automotive segments (Data Center is 90% of revenue and the core thesis); short-term supply chain commentary (demand currently outstrips supply); individual benchmark losses on niche workloads; new AI chip startup funding announcements (the CUDA moat is the key barrier).

Repricing Catalyst

The unprecedented demand for AI infrastructure, driven by hyperscalers and the rise of enterprise AI adoption, is fueling explosive growth in NVIDIA's Data Center segment. The ongoing ramp of the Blackwell GPU architecture and the announcement of the next-gen Rubin platform are expected to sustain this trajectory, with management guiding to a record $78B in revenue for Q1 FY2027, well above prior expectations.

What NVDA Makes & Who Pays
TTM figures based on Q4 FY2026 Earnings Press Release, Feb 25 2026
AI & Data Center Infrastructure
$193.7B TTM (91.5% of Total) · 75.2% Margin
What It Is

Blackwell and Hopper architecture Tensor Core GPUs (H100, H200, B100), Grace-Hopper and Grace-Blackwell Superchips, NVLink interconnects, InfiniBand and Spectrum-X networking hardware, and DGX integrated AI supercomputer systems.

Who Pays & How

Hyperscalers (Amazon AWS, Microsoft Azure, Google Cloud) and enterprise customers pay per-GPU or per-system to build out AI training and inference infrastructure. They are locked in by the high switching costs of moving from NVIDIA's CUDA software platform, which would require years of rewriting code and retraining developers.

Per-unit hardware sale to cloud providers, enterprises, and OEMs.
Competition
AMD - Instinct MI300 series accelerators.
AMD competes on a more open-source software approach (ROCm) and aims for a competitive price/performance ratio.
NVIDIA's 17-year investment in the CUDA software platform has created a deep ecosystem with over 4 million developers, resulting in extremely high switching costs that competitors cannot easily replicate.
Gaming & PC Graphics
$16.0B TTM (5.4% of Total) · 75.2% Margin
What It Is

GeForce RTX series GPUs for gaming PCs and laptops, featuring technologies like DLSS AI-powered graphics.

Who Pays & How

Consumers and PC OEMs (Dell, HP, etc.) pay per-GPU for the highest performance in PC gaming and content creation, supported by brand loyalty and a mature driver and software ecosystem.

Per-unit hardware sale to OEMs and channel partners.
Competition
AMD - Radeon RX series GPUs.
AMD often competes aggressively on price-to-performance in mid-range segments.
NVIDIA's top-tier performance, brand strength, and proprietary technologies like DLSS and Ray Tracing performance create a strong competitive advantage, particularly with gaming enthusiasts.
Professional Visualization
$3.2B TTM (1.9% of Total) · 75.2% Margin
What It Is

NVIDIA RTX series professional GPUs (formerly Quadro) for workstations; Omniverse software platform for 3D design and digital twins.

Who Pays & How

Professionals in media, manufacturing, and sciences pay for certified, high-performance GPUs to accelerate rendering, simulation, and design workflows. The need for driver stability and application-specific certifications creates stickiness.

Per-unit hardware sales; software licensing for platforms like Omniverse.
Competition
AMD - Radeon Pro series GPUs.
AMD offers competing professional cards, often at different price points.
Deep integration and certification with professional software (e.g., Autodesk, Adobe). The Omniverse platform is a growing moat, creating a collaborative ecosystem.
Automotive & Robotics
$2.3B TTM (1.2% of Total) · 75.2% Margin
What It Is

NVIDIA DRIVE platform SoCs (System-on-a-Chip) like Thor for autonomous driving and in-vehicle infotainment; Jetson platform for robotics.

Who Pays & How

Automakers and Tier-1 suppliers pay for a full-stack hardware and software platform to power in-car AI, from infotainment to autonomous driving. Long design cycles (3-5 years) create a strong lock-in once a car model is committed to the DRIVE platform.

Per-unit SoC sales and development contracts.
Competition
Qualcomm - Snapdragon Digital Chassis; Mobileye - EyeQ series SoCs.
Qualcomm has deep relationships in automotive for connectivity and telematics. Mobileye is a leader in dedicated ADAS vision systems.
NVIDIA offers a unified, scalable architecture from the cloud (for training AI models) to the car (for inference), which is a compelling proposition for automakers building software-defined vehicles.
NVDA Evolution: Price Return by Era
1993–2005 · The GPU Pioneer
Winning the 3D Graphics War +138% (1999)
Founded in 1993, NVIDIA's early years were defined by intense competition in the nascent 3D graphics market. The launch of the RIVA series and especially the GeForce 256 in 1999, marketed as the world's first GPU, established its dominance in PC gaming. This era was focused on winning the consumer graphics market through raw performance and establishing the GeForce brand.
2006–2017 · The CUDA Pivot
Unlocking the GPU for Parallel Computing +224% (2016)
The launch of the CUDA parallel computing platform in 2006 was the company's key strategic inflection point. This software innovation unlocked the massive parallel processing power of GPUs for general-purpose computing, moving beyond just graphics. This laid the essential groundwork for the future AI boom, as researchers discovered GPUs were ideal for training neural networks.
2018–Present · The AI Industrial Revolution
Becoming the Engine of Artificial Intelligence +239% (2023)
This era is defined by the exponential growth of the Data Center business. As AI and machine learning became commercial priorities, demand for NVIDIA's GPUs exploded, transforming the company's revenue mix and scale. Architectures from Volta to Ampere, Hopper, and Blackwell solidified NVIDIA's position as the foundational infrastructure for the AI revolution, making it one of the world's most valuable companies.
Market Is In Wait-and-See Mode
Price structure is neutral. The price is in a holding pattern with no clear directional commitment from the moving average stack. Relative to SPY: Mildly ahead of the market but 'relative strength' trend is softening; monitor for rotation out. Volume and momentum are supportive. OBV (on-balance volume) and up/down volume character favor buyers. Earnings history is a strong counter-signal. The market has consistently rejected the narrative. This is not noise, but institutional disagreement.
① Structure
0
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
+2
Volume/Momentum pillar score (-4 to +4). Driven by institutional footprint score, OBV divergence, and momentum character.
③ Catalyst
-3
Catalyst pillar score (-4 to +4). Driven by earnings day reaction, 20D post-earnings drift, and post-earnings volume character.
Combined Score
-1 / 12
1 Price Structure & Trend Consolidating · -
2 Momentum Mixed
3 Relative Strength vs. SPY Neutral Relative Strength
4 Institutional Footprint & Volume Mild Accumulation
5 Volatility Normal
6 Key Price Levels Range · Vol Falling
7 Earnings Reaction History Consistent Pressure
8 How the Verdict Is Derived Three Pillars