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NVIDIA (NVDA)

Market Price (3/18/2026): $181.96 | Market Cap: $4.4 Tril
Sector: Information Technology | Industry: Semiconductors

NVIDIA (NVDA)

Market Price (3/18/2026): $181.96
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%		 Key risks
NVDA key risks include [1] U.S. Show more.
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 41%		 
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 41%
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
6 Key risks
NVDA key risks include [1] U.S. Show more.

Valuation, Metrics & Events

Price Chart

Why The Stock Moved

Qualitative Assessment

AI Analysis | Feedback

NVIDIA (NVDA) stock has gained about 5% 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 2.8% change in NVDA stock from 11/30/2025 to 3/17/2026 was primarily driven by a 15.4% change in the company's Total Revenues ($ Mil).
(LTM values as of)113020253172026Change
Stock Price ($)176.98181.932.8%
Change Contribution By: 
Total Revenues ($ Mil)187,142215,93815.4%
Net Income Margin (%)53.0%55.6%4.9%
P/E Multiple43.436.8-15.2%
Shares Outstanding (Mil)24,32724,3020.1%
Cumulative Contribution2.8%

LTM = Last Twelve Months as of date shown

Market Drivers

11/30/2025 to 3/17/2026
ReturnCorrelation
NVDA2.8% 
Market (SPY)-1.8%66.7%
Sector (XLK)-2.5%76.9%

Fundamental Drivers

The 4.5% change in NVDA stock from 8/31/2025 to 3/17/2026 was primarily driven by a 30.7% change in the company's Total Revenues ($ Mil).
(LTM values as of)83120253172026Change
Stock Price ($)174.15181.934.5%
Change Contribution By: 
Total Revenues ($ Mil)165,218215,93830.7%
Net Income Margin (%)52.4%55.6%6.1%
P/E Multiple49.036.8-24.9%
Shares Outstanding (Mil)24,36624,3020.3%
Cumulative Contribution4.5%

LTM = Last Twelve Months as of date shown

Market Drivers

8/31/2025 to 3/17/2026
ReturnCorrelation
NVDA4.5% 
Market (SPY)4.3%63.6%
Sector (XLK)6.5%77.7%

Fundamental Drivers

The 45.7% change in NVDA stock from 2/28/2025 to 3/17/2026 was primarily driven by a 65.5% change in the company's Total Revenues ($ Mil).
(LTM values as of)22820253172026Change
Stock Price ($)124.88181.9345.7%
Change Contribution By: 
Total Revenues ($ Mil)130,497215,93865.5%
Net Income Margin (%)55.8%55.6%-0.4%
P/E Multiple42.036.8-12.2%
Shares Outstanding (Mil)24,48924,3020.8%
Cumulative Contribution45.7%

LTM = Last Twelve Months as of date shown

Market Drivers

2/28/2025 to 3/17/2026
ReturnCorrelation
NVDA45.7% 
Market (SPY)13.9%76.4%
Sector (XLK)24.3%86.1%

Fundamental Drivers

The 684.5% change in NVDA stock from 2/28/2023 to 3/17/2026 was primarily driven by a 700.5% change in the company's Total Revenues ($ Mil).
(LTM values as of)22820233172026Change
Stock Price ($)23.19181.93684.5%
Change Contribution By: 
Total Revenues ($ Mil)26,974215,938700.5%
Net Income Margin (%)16.2%55.6%243.4%
P/E Multiple130.836.8-71.8%
Shares Outstanding (Mil)24,63024,3021.3%
Cumulative Contribution684.5%

LTM = Last Twelve Months as of date shown

Market Drivers

2/28/2023 to 3/17/2026
ReturnCorrelation
NVDA684.5% 
Market (SPY)75.6%64.1%
Sector (XLK)108.6%78.9%

Return vs. Risk

Price Returns Compared

 202120222023202420252026Total [1]
Returns
NVDA Return125%-50%239%171%39%-2%1307%
Peers Return45%-42%85%25%41%-1%170%
S&P 500 Return27%-19%24%23%16%-2%78%

Monthly Win Rates [3]
NVDA Win Rate58%42%75%75%67%67% 
Peers Win Rate62%38%65%53%52%40% 
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%-12% 
S&P 500 Max Drawdown-1%-25%-1%-2%-15%-3% 

[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 3/17/2026 (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.

AI Analysis | Feedback

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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Jensen Huang
Founder, President, and Chief Executive Officer

Jensen Huang co-founded NVIDIA in 1993 and has served as its President and CEO since its inception. He previously gained experience in the tech industry, working at Advanced Micro Devices (AMD) and LSI Logic Corporation, where he rose to become a division director. Huang earned a bachelor's degree in electrical engineering from Oregon State University and a master's degree in electrical engineering from Stanford University. Under his leadership, NVIDIA navigated early challenges, including near-bankruptcy in the 1990s, and expanded into GPU production, high-performance computing, and artificial intelligence.

Colette Kress
Executive Vice President and Chief Financial Officer

Colette Kress joined NVIDIA in September 2013 as Executive Vice President and Chief Financial Officer, overseeing the company's financial strategy and operations. She has over three decades of experience in senior finance roles within the technology sector. Before NVIDIA, Kress spent three years as Senior Vice President and CFO of Cisco's Business Technology and Operations Finance organization. Prior to that, she worked for 13 years at Microsoft, including four years as CFO of the Server and Tools division, and held various senior corporate planning and finance positions. She began her career at Texas Instruments. Kress holds an MBA from Southern Methodist University and a bachelor's degree in finance from the University of Arizona.

Chris A. Malachowsky
Founder and NVIDIA Fellow

Chris A. Malachowsky is a co-founder of NVIDIA and currently serves as an NVIDIA Fellow. He has held various positions at the company since its founding in 1993, overseeing areas such as IT, operations, and product engineering. Before co-founding NVIDIA, Malachowsky held engineering and technical leadership roles at companies including Hewlett-Packard and Sun Microsystems.

Debora Shoquist
Executive Vice President, Operations

Debora Shoquist serves as the Executive Vice President of Operations at NVIDIA, a role she has held since joining the company in 2007. With over two decades of experience prior to NVIDIA, she managed operations at various companies, including Quantum and Coherent.

Jay Puri
Executive Vice President, Worldwide Field Operations

Jay Puri is the Executive Vice President of Worldwide Field Operations at NVIDIA, responsible for overseeing the company's global business, including sales, partnerships, program management, and support services. Prior to joining NVIDIA in 2005, Puri accumulated over two decades of experience in sales, marketing, and management, including a significant tenure as Senior Vice President of the Asia-Pacific Group at Sun Microsystems, and roles at Hewlett-Packard, Booz Allen, and Texas Instruments.

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The key risks to NVIDIA's business include:

  1. Intensifying Competition from Hyperscalers and Rivals: A significant risk to NVIDIA stems from its largest customers, major hyperscalers such as Google, Amazon, Microsoft, and Meta, increasingly developing their own custom artificial intelligence (AI) chips and accelerators (e.g., Google's TPU, Amazon's Inferentia/Tranium, Microsoft's Maia, Meta's MTIA, and Tesla's Dojo D1). This trend aims to reduce their dependence on NVIDIA and optimize hardware for their specific AI workloads, particularly for inference, which could erode NVIDIA's market share and revenue from its critical Data Center segment. Additionally, traditional rivals like Advanced Micro Devices (AMD) with its MI300 series and Intel with its Gaudi accelerators are ramping up competition in the AI chip market.
  2. Geopolitical Tensions and Export Controls: NVIDIA operates in a global market and faces substantial geopolitical risks, especially regarding U.S. government restrictions on selling advanced AI chips to China and other regions. China has historically been a major market for NVIDIA, significantly contributing to its data center revenue. These export controls can directly reduce sales, necessitate product redesigns, create uncertainty for customers, and enable local competitors to gain traction, thereby impacting NVIDIA's growth prospects and operational complexity.
  3. Reliance on the AI Boom and Potential for Decelerating AI Spending: NVIDIA's recent explosive revenue growth has been largely fueled by the high demand for AI infrastructure, particularly for training large AI models. However, the business faces a risk if enterprises or hyperscalers slow down their AI capital expenditures, overbuild their infrastructure, or if the evolution of AI workloads shifts away from NVIDIA's primary offerings (e.g., toward more efficient inference or custom accelerators). The market's extremely high expectations for NVIDIA's continued rapid growth also make the company vulnerable to any perceived deceleration in AI spending or shifts in technological requirements.

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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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Here are the addressable market sizes for NVIDIA's main products and services:

  • Gaming GPUs (GeForce GPUs): The global gaming GPU market size was estimated at USD 87.57 billion in 2025.
  • Professional Visualization (Quadro/NVIDIA RTX GPUs): The global advanced visualization market was valued at US$3.78 billion in 2024.
  • Automotive Platforms (AI Cockpit, Autonomous Driving, ADAS): The global automotive advanced driver assistance system market size was estimated at USD 68.26 billion in 2025.
  • Data Center Platforms and Systems:
    • AI Data Center (including GPU-based compute servers): The global AI Data Center Market size is anticipated to grow from USD 236.44 billion in 2025.
    • High Performance Computing (HPC): The global high performance computing market size was valued at USD 59.33 billion in 2025.
    • Data Center Networking Solutions (Mellanox): The global Data Center Networking Market is projected to grow from USD 55.64 billion in 2025.
  • Omniverse Software (Industrial Metaverse): The global industrial metaverse market size was valued at USD 29.05 billion in 2025.
  • Jetson (Robotics and Embedded Platforms): The global embedded AI market size was valued at USD 11.7 billion in 2025.

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NVIDIA (NVDA) is expected to drive future revenue growth over the next 2-3 years through several key areas:

  1. Sustained Demand for Data Center AI Infrastructure: NVIDIA anticipates continued exponential growth in demand for its AI computing power and data center platforms. Hyperscalers, cloud service providers, and enterprises are expected to maintain heavy investments in AI infrastructure, including NVIDIA's GPUs and accelerated computing solutions. The company's Blackwell and upcoming Vera Rubin architectures are key to meeting this demand. NVIDIA's CEO Jensen Huang has projected cumulative revenue from 2025-2027 for AI infrastructure to exceed $1 trillion.
  2. Expansion into Diverse AI Applications and Vertical Markets: Beyond traditional data center applications, NVIDIA expects significant growth from the expansion of AI into new and diverse vertical industries. These include automotive, financial services, healthcare, and robotics. The adoption of generative AI workloads, such as data preparation, large language model (LLM) fine-tuning, and retrieval augmented generation, is increasingly driving enterprise demand.
  3. Growth in the Automotive Segment: The automotive sector is a crucial growth driver, particularly with the increasing adoption of autonomous driving and AI cockpit solutions. Automakers are incorporating NVIDIA's DRIVE platform for software-defined autonomous vehicle fleets. Strategic partnerships with companies like Li Auto, Great Wall Motor, ZEEKR, Xiaomi EV, Hyundai, and Kia underscore this growth.
  4. Continuous Introduction of New Products and Architectural Advancements: NVIDIA's pipeline of new product launches and architectural innovations will be vital for future revenue. This includes new generations of GPUs like the Blackwell Ultra GB300 and B300 series chips, and the forthcoming Vera Rubin AI system, which are designed to offer substantial performance improvements and drive upgrade cycles.
  5. Development and Expansion of Software and Services: Growth in NVIDIA's software and services offerings, such as the NVIDIA AI Enterprise suite and the Omniverse platform, is also an expected revenue driver. These solutions enable various industrial applications, from digital twin creation and simulation in automotive design to broader AI development and deployment for enterprises.

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Share Repurchases

  • In August 2024, NVIDIA's board approved a $50 billion share repurchase authorization.
  • In August 2025, the board authorized an additional $60 billion increase to its share repurchase program, which has no expiration date.
  • NVIDIA's annual share buybacks amounted to $10.039 billion in 2023, $9.533 billion in 2024, and $33.706 billion in 2025.

Share Issuance

  • NVIDIA's annual stock-based compensation for 2023 was $2.709 billion.
  • The company's annual stock-based compensation for 2024 was $3.549 billion.
  • NVIDIA's annual stock-based compensation for 2025 was $4.737 billion.

Outbound Investments

  • NVIDIA committed up to $100 billion to OpenAI in September 2025 for AI infrastructure deployment, structured as 10 separate $10 billion investments, with the first tranche tied to infrastructure deployment goals.
  • The company announced plans to acquire a $5 billion stake in Intel in September 2025, aiming for collaboration on AI processors.
  • NVIDIA entered into an approximately $20 billion agreement with Groq in December 2025, which includes non-exclusive licensing of Groq's AI inference technology, acquisition of key assets, and key personnel joining NVIDIA.

Capital Expenditures

  • NVIDIA's capital expenditures were $1.833 billion in fiscal year 2023, $1.069 billion in fiscal year 2024, and increased to $3.236 billion in fiscal year 2025.
  • Capital expenditures for the fiscal year ending January 2026 peaked at $6.042 billion.
  • The primary focus of these capital expenditures is to support the rapid development of AI infrastructure and data center buildouts to meet the surging demand for its GPUs.

Interactive Breakdown

NVIDIA Interactive Breakdown Analysis

Better Bets vs. NVIDIA (NVDA)

Latest Trefis Analyses

TitleDate
0DASHBOARDS 
1Stress-Testing the NVDA Thesis: 5 Structural Risks to Watch Over the Next 6 Months03/13/2026
2How Does NVIDIA Stock Stack Up Against Its Peers?03/03/2026
3Should You Buy NVIDIA Stock Despite Its High Valuation?03/03/2026
4What Could Light a Fire Under NVIDIA Stock02/26/2026
5The Risk Factors to Watch Out For in NVIDIA Stock02/19/2026
6NVIDIA Stock (+7.9%): AI Infra Spend Signals a Sector-Wide Chase02/07/2026
7Can NVIDIA Stock Recover If Markets Fall?02/06/2026
8What Could Spark the Next Big Move In NVIDIA Stock01/28/2026
9What Is Happening With NVIDIA Stock?01/24/2026
10Can NVIDIA Stock Withstand These Pressures?01/21/2026
11ARTICLES 
12Pay Less, Gain More: MU, NVDA Top Monolithic Power Systems Stock03/18/2026
13Nvidia’s $1T Guidance Leaves Stock Flat, But These 4 Plays Could Explode03/18/2026
14Can Sovereign AI Buffer Nvidia Against a Potential Hyperscaler Slowdown?03/17/2026
15NVIDIA vs Microchip Technology: Which Is the Stronger Buy Today?03/16/2026
16NVIDIA or Micron Technology: Which Stock Has More Upside?03/14/2026
Title
0DASHBOARDS
1Stress-Testing the NVDA Thesis: 5 Structural Risks to Watch Over the Next 6 Months
2How Does NVIDIA Stock Stack Up Against Its Peers?
3Should You Buy NVIDIA Stock Despite Its High Valuation?
4What Could Light a Fire Under NVIDIA Stock
5The Risk Factors to Watch Out For in NVIDIA Stock
6NVIDIA Stock (+7.9%): AI Infra Spend Signals a Sector-Wide Chase
7Can NVIDIA Stock Recover If Markets Fall?
8What Could Spark the Next Big Move In NVIDIA Stock
9What Is Happening With NVIDIA Stock?
10Can NVIDIA Stock Withstand These Pressures?
11ARTICLES
12Pay Less, Gain More: MU, NVDA Top Monolithic Power Systems Stock
13Nvidia’s $1T Guidance Leaves Stock Flat, But These 4 Plays Could Explode
14Can Sovereign AI Buffer Nvidia Against a Potential Hyperscaler Slowdown?
15NVIDIA vs Microchip Technology: Which Is the Stronger Buy Today?
16NVIDIA or Micron Technology: Which Stock Has More Upside?

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%

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Peer Comparisons

Peers to compare with:

Financials

NVDAAMDINTCAVGOQCOMMRVLMedian
NameNVIDIA Advanced.Intel Broadcom Qualcomm Marvell . 
Mkt Price181.93196.3144.06321.31131.5990.79156.76
Mkt Cap4,421.3319.4213.61,520.8140.878.1266.5
Rev LTM215,93834,63952,85363,88744,8678,19548,860
Op Inc LTM130,3873,694-2326,07512,2051,3387,950
FCF LTM96,6766,735-4,94926,91412,9261,3929,830
FCF 3Y Avg61,5173,420-11,62821,32011,8501,2677,635
CFO LTM102,7187,7099,69727,53714,3901,75012,044
CFO 3Y Avg64,9664,1399,81921,86113,1281,60111,473

Growth & Margins

NVDAAMDINTCAVGOQCOMMRVLMedian
NameNVIDIA Advanced.Intel Broadcom Qualcomm Marvell . 
Rev Chg LTM65.5%34.3%-0.5%23.9%10.3%42.1%29.1%
Rev Chg 3Y Avg101.8%14.7%-5.5%25.2%2.3%13.3%14.0%
Rev Chg Q73.2%34.1%-4.1%28.2%5.0%22.1%25.1%
QoQ Delta Rev Chg LTM15.4%8.2%-1.1%6.6%1.3%5.1%5.9%
Op Mgn LTM60.4%10.7%-0.0%40.8%27.2%16.3%21.8%
Op Mgn 3Y Avg59.0%6.8%-3.0%38.6%26.1%0.7%16.5%
QoQ Delta Op Mgn LTM1.5%1.3%0.2%1.8%-0.8%1.6%1.4%
CFO/Rev LTM47.6%22.3%18.3%43.1%32.1%21.4%27.2%
CFO/Rev 3Y Avg47.6%13.8%18.4%44.1%32.3%25.1%28.7%
FCF/Rev LTM44.8%19.4%-9.4%42.1%28.8%17.0%24.1%
FCF/Rev 3Y Avg45.3%11.2%-21.7%43.0%29.1%19.9%24.5%

Valuation

NVDAAMDINTCAVGOQCOMMRVLMedian
NameNVIDIA Advanced.Intel Broadcom Qualcomm Marvell . 
Mkt Cap4,421.3319.4213.61,520.8140.878.1266.5
P/S20.59.24.023.83.19.59.4
P/EBIT31.274.880.758.610.624.044.9
P/E36.873.7-800.065.826.229.333.0
P/CFO43.041.422.055.29.844.642.2
Total Yield2.7%1.4%-0.1%1.5%6.5%3.7%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-0.5%-5.3%-5.8%-1.2%-5.9%15.5%-3.2%
3M Rtn2.4%-6.1%18.1%-5.9%-24.8%8.1%-1.7%
6M Rtn4.0%22.3%74.4%-10.4%-18.9%32.0%13.2%
12M Rtn52.2%87.7%71.5%66.7%-14.7%29.4%59.5%
3Y Rtn607.8%100.6%51.4%432.6%16.7%129.7%115.2%
1M Excs Rtn1.3%-3.6%-4.1%0.6%-4.1%17.3%-1.5%
3M Excs Rtn5.6%-5.2%18.2%-8.9%-24.1%9.2%0.2%
6M Excs Rtn0.8%20.3%76.4%-13.0%-19.0%33.3%10.6%
12M Excs Rtn30.5%75.3%64.1%46.7%-33.1%13.4%38.6%
3Y Excs Rtn619.0%63.5%-8.1%372.7%-51.6%63.4%63.5%

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$181.93 
Market Cap ($ Bil)4,421.3 
First Trading Date01/22/1999 
Distance from 52W High-12.1% 
   50 Days200 Days
DMA Price$185.25$177.83
DMA Trendupindeterminate
Distance from DMA-1.8%2.3%
 3M1YR
Volatility35.5%41.5%
Downside Capture192.50170.85
Upside Capture221.61184.06
Correlation (SPY)69.7%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
NVDA49.8%41.4%1.07-
Sector ETF (XLK)31.2%26.6%0.9986.2%
Equity (SPY)20.3%18.8%0.8576.9%
Gold (GLD)68.2%26.2%1.97-0.7%
Commodities (DBC)19.1%17.3%0.8925.5%
Real Estate (VNQ)7.6%16.1%0.2724.9%
Bitcoin (BTCUSD)-10.5%44.3%-0.1236.1%

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 NVDA
NVDA71.1%51.7%1.23-
Sector ETF (XLK)17.5%24.6%0.6481.5%
Equity (SPY)13.0%17.0%0.6070.3%
Gold (GLD)23.4%17.2%1.115.5%
Commodities (DBC)11.0%19.0%0.4713.0%
Real Estate (VNQ)4.8%18.8%0.1630.8%
Bitcoin (BTCUSD)6.1%56.7%0.3331.9%

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 NVDA
NVDA72.6%49.7%1.29-
Sector ETF (XLK)22.2%24.2%0.8476.3%
Equity (SPY)14.8%17.9%0.7165.3%
Gold (GLD)14.4%15.6%0.762.9%
Commodities (DBC)8.5%17.6%0.4017.0%
Real Estate (VNQ)5.8%20.7%0.2432.8%
Bitcoin (BTCUSD)68.3%66.8%1.0721.2%

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

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%

Returns Analyses

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 mildly positive. The trend shows early signs of health but hasn't fully committed. Relative to SPY: Strong 63D outperformance but 'relative strength' momentum is fading, indicating that money rotation may be maturing. 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
+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
+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
0 / 12
1 Price Structure & Trend Consolidating · - ▾
2 Momentum Pausing ▾
3 Relative Strength vs. SPY Mild Outperformance ▾
4 Institutional Footprint & Volume Mild Accumulation ▾
5 Volatility Normal ▾
6 Key Price Levels Range · Vol Flat ▾
7 Earnings Reaction History Consistent Pressure ▾
8 How the Verdict Is Derived Three Pillars ▾
Price Intelligence is derived from price-volume pattern analysis only. All moving averages are simple (SMA). Relative strength benchmarked against SPY.

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