NVIDIA Corporation
- Open
- 202.00
- Day high
- 211.00
- Day low
- 201.92
- Prev close
- 202.78
- Volume
- 147.2M
- Mkt cap
- $5.11T
- P/E (TTM)
- 32.2
- EPS (TTM)
- $6.56
- P/B
- 26.1
- P/S
- 20.2
- Yield
- 0.13%
- Per share
- $0.28
- ▼Insiders net selling -$410.6M over the last 3 months (0 open-market buys, 7 sales)
- 🏛Institutions mixed (13F)
NVIDIA Corporation (NVDA) is a Technology company listed on NASDAQ. The stock is up 24% over the past year. Over the trailing 3 months, insiders filed 0 open-market buys and 7 sales (SEC Form 4). Drillr has 55 published research articles covering NVDA.
NVIDIA Corporation (NVDA) financials & analyst ratings
Fundamentals (TTM)
Analyst consensus · 22 analysts
Source: exchange market data + company filings. Figures are trailing-twelve-month or as most recently reported. For informational purposes only — not investment advice.
NVDA earnings date, history & EPS estimates
| Report date | EPS est | EPS actual | Surprise | Revenue | Rev. surprise |
|---|---|---|---|---|---|
| May 20, 2026 | $1.76 | $1.87 | +6.3% | $81.6B | +4.1% |
| Feb 25, 2026 | $1.54 | $1.62 | +5.2% | $68.1B | +3.0% |
| Nov 19, 2025 | $1.26 | $1.30 | +3.2% | $57.0B | +3.7% |
| Aug 27, 2025 | $1.01 | $1.05 | +4.0% | $46.7B | +1.5% |
| May 28, 2025 | $0.74 | $0.81 | +9.9% | $44.1B | +1.7% |
| Feb 26, 2025 | $0.85 | $0.89 | +5.0% | $39.3B | +3.2% |
| Nov 20, 2024 | $0.75 | $0.81 | +8.0% | $35.1B | +5.8% |
| May 22, 2024 | $0.56 | $0.61 | +8.9% | $26.0B | +5.9% |
| Feb 21, 2024 | $0.46 | $0.52 | +13.0% | $22.1B | +9.2% |
| Nov 21, 2023 | $0.34 | $0.40 | +17.6% | $18.1B | +19.3% |
| Aug 23, 2023 | $0.21 | $0.27 | +28.6% | $13.5B | +20.3% |
| May 24, 2023 | $0.09 | $0.11 | +22.2% | $7.2B | +10.4% |
NVDA insider trading activity (SEC Form 4)
| Date | Insider | Type | Shares | Price |
|---|---|---|---|---|
| Jun 29, 2026 | COXE TENCHdirector | Grant | 1,211 | — |
| Jun 29, 2026 | Neal Stephen Cdirector | Grant | 1,211 | — |
| Jun 29, 2026 | LORA MELISSAdirector | Grant | 1,211 | — |
| Jun 29, 2026 | Dabiri Johndirector | Grant | 1,211 | — |
| Jun 29, 2026 | SEAWELL A BROOKEdirector | Grant | 1,211 | — |
| Jun 29, 2026 | JONES HARVEY Cdirector | Grant | 1,211 | — |
| Jun 29, 2026 | HUDSON DAWN Edirector | Grant | 1,211 | — |
| Jun 29, 2026 | STEVENS MARK Adirector | Grant | 1,211 | — |
| Jun 29, 2026 | Shah Aarti S.director | Grant | 1,211 | — |
| Jun 23, 2026 | Teter Timothy S.officer: EVP, General Counsel and Sec | Tax | 35,742 | $207.41 |
| Jun 23, 2026 | STEVENS MARK Adirector | Sell | 319,385 | $209.70 |
| Jun 23, 2026 | HUANG JEN HSUNdirector, officer: President and CEO | Tax | 45,723 | $207.41 |
| Jun 23, 2026 | Kress Coletteofficer: EVP & Chief Financial Officer | Tax | 40,746 | $207.41 |
| Jun 23, 2026 | STEVENS MARK Adirector | Sell | 565,615 | $210.44 |
| Jun 23, 2026 | Shoquist Deboraofficer: EVP, Operations | Tax | 35,012 | $207.41 |
Source: NVDA SEC Form 4 filings, latest Jun 29, 2026. For informational purposes only — not investment advice.
See the full NVDA insider & 13F page →NVDA research & analysis
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NVIDIA Corporation company profile
Overview
NVIDIA Corporation (NASDAQ:NVDA) is a technology company founded in 1993 and headquartered in Santa Clara, California. Originally established as a graphics processing unit (GPU) manufacturer for gaming applications, NVIDIA has evolved into a dominant force in artificial intelligence (AI) computing infrastructure. The company went public in 1999 and has undergone a dramatic transformation over the past few years, transitioning from primarily serving gaming markets to becoming the leading provider of AI accelerated computing solutions. Today, NVIDIA stands as one of the world's most valuable technology companies, powering the global AI revolution through its specialized semiconductor chips and comprehensive software ecosystem.
Business
NVIDIA operates in the semiconductor industry, specifically designing and manufacturing graphics processing units (GPUs) and related computing solutions. Unlike traditional central processing units (CPUs) that handle general computing tasks sequentially, GPUs are specialized processors designed to handle thousands of parallel computations simultaneously, making them exceptionally well-suited for graphics rendering, scientific computing, and artificial intelligence workloads. The company operates through two primary business segments. The Data Center segment represents approximately 90% of total revenue and provides AI computing infrastructure including GPU accelerators, networking solutions, and software platforms. These products power everything from training large language models like ChatGPT to running AI inference applications in cloud data centers. The company's flagship products include the H100 and H200 Hopper architecture GPUs and the newer Blackwell architecture, which are specifically designed for AI workloads and can cost tens of thousands of dollars per chip. The Gaming segment accounts for roughly 7% of revenue and offers GeForce GPUs for consumer gaming PCs, along with the GeForce NOW cloud gaming service. The remaining revenue comes from Professional Visualization (providing Quadro/RTX GPUs for enterprise workstations and creative professionals) and Automotive segments (developing AI platforms for autonomous vehicles and in-car infotainment systems). NVIDIA also generates growing revenue from software and services, including NVIDIA AI Enterprise software suite and various AI development tools.
Revenue model
NVIDIA primarily generates revenue through product sales of its semiconductor chips and computing systems, with customers including cloud service providers like Amazon Web Services and Microsoft Azure, original equipment manufacturers, system integrators, and enterprise customers. The company operates on a fabless model, designing chips but outsourcing manufacturing to foundries like Taiwan Semiconductor Manufacturing Company (TSMC). The business model benefits from several key factors that drive pricing power and margins. NVIDIA's GPUs command premium pricing due to their superior performance in AI workloads, with data center GPUs selling for $25,000-$40,000 per unit compared to traditional server CPUs costing a few thousand dollars. The company's CUDA software ecosystem creates significant switching costs, as developers invest substantial time learning NVIDIA's programming tools and optimizing applications for their architecture. Revenue growth is driven by the massive capital expenditure cycle in AI infrastructure, as technology companies invest hundreds of billions of dollars building AI data centers. Factors that could increase margins include continued AI adoption, the company's rapid product innovation cycle that maintains technological leadership, and the growing software and services revenue stream that carries higher margins than hardware. Conversely, margins face pressure from intense competition from custom AI chips developed by major cloud providers, potential supply chain constraints from advanced chip manufacturing, and the cyclical nature of technology spending. The company's gross margins have fluctuated between the low 70% to mid-70% range as new product generations ramp up production.
Competitive moat
NVIDIA possesses a formidable competitive moat built on multiple reinforcing advantages. The company's strongest defense is its CUDA software ecosystem, a parallel computing platform that has become the de facto standard for AI development over the past 15 years. Millions of developers worldwide have invested significant time learning CUDA programming, creating substantial switching costs that make it difficult for customers to migrate to competing platforms. The company maintains technological leadership through its rapid innovation cycle, introducing new GPU architectures annually with significant performance improvements. This pace of innovation, combined with deep partnerships with leading foundries like TSMC, creates barriers for competitors trying to match NVIDIA's performance and time-to-market advantages. Additionally, NVIDIA benefits from network effects where its large customer base provides valuable feedback for product development, and its scale enables massive R&D investments that smaller competitors cannot match. However, this moat faces meaningful challenges. Major cloud providers including Google, Amazon, and Meta are developing custom AI chips specifically optimized for their workloads, potentially reducing dependence on NVIDIA's general-purpose GPUs. Traditional semiconductor companies like Intel and AMD are also investing heavily in AI chip development. The company's reliance on TSMC for advanced chip manufacturing creates supply chain risks, and the cyclical nature of semiconductor demand could impact pricing power during market downturns. Despite these challenges, NVIDIA's comprehensive platform approach combining hardware, software, and ecosystem advantages provides significant protection against competitive threats in the near to medium term.
Risks & safety
NVIDIA demonstrates a strong financial position with substantial margin of safety, though valuation metrics suggest limited downside protection at current prices. • Financial Strength: The company maintains excellent liquidity with $8.6 billion in cash and short-term investments, minimal debt ($10.3 billion debt-to-equity ratio of 0.13), and strong free cash flow generation of $60.9 billion annually. • Profitability: Exceptional profitability metrics with 56% net profit margins, 92% return on equity, and $86 billion in EBITDA demonstrate robust operational efficiency. • Valuation Concerns: Current valuation multiples appear stretched with P/E ratio of 40x, EV/EBITDA of 34x, and price-to-book ratio of 37x, suggesting limited margin of safety for value-oriented investors. • Growth Dependency: The company's valuation assumes continued explosive growth in AI infrastructure spending, creating vulnerability to any slowdown in AI adoption or increased competition. • Cyclical Risk: Semiconductor industry historically experiences cyclical downturns, and current elevated margins may not be sustainable long-term as competition intensifies and markets mature.
Recent development
Over the past few years, NVIDIA has executed a dramatic strategic transformation from a gaming-focused GPU company to the dominant provider of AI computing infrastructure. The company's most significant development has been the launch of its Blackwell architecture in 2024, which offers 25x higher token throughput for AI reasoning applications compared to previous generations. This represents the fastest product ramp in company history, with production scaling rapidly to meet unprecedented demand. NVIDIA has expanded beyond hardware into comprehensive AI software platforms, launching NVIDIA Inference Microservices (NIMs) and NVIDIA AI Enterprise software suite, which now generates nearly $2 billion in annual revenue. The company has also developed DGX Cloud services and AI foundry offerings, positioning itself as an end-to-end AI platform provider rather than just a chip supplier. The emergence of Sovereign AI represents another major strategic opportunity, as countries worldwide invest in building national AI infrastructure capabilities. NVIDIA has secured partnerships with governments and regional cloud providers globally, contributing to low double-digit billions in revenue. Additionally, the company has maintained its annual product innovation rhythm, with plans to continue releasing new GPU architectures each year while expanding into adjacent markets including robotics, autonomous vehicles, and edge AI applications through platforms like Jetson and automotive AI solutions.
NVDA company profile · for informational purposes only — not investment advice.
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