Metric timing
This page mixes live market data, trailing fundamentals, and latest reported statement data.
Live / market snapshot
Price, 1D change, market cap, and enterprise value are current market-based figures.
TTM / forward
Most valuation and margin cards are trailing twelve months, while forward P/E uses forward consensus.
Latest quarter / dividend cadence
Balance-sheet ratios use the latest reported quarter. Dividend cadence is inferred from recent payout history.
latest annual revenue
latest quarterly revenue
latest annual profit
latest quarterly profit
annualized per share
latest ex-dividend cash amount
Latest headlines
Recent company headlines. Each link opens the original article in a new tab.
Nvidia's changing its strategic approach to AI, going all in on inferencing and agents
Nvidia is evolving to focus on inferencing and AI agents.
Could Buying $10,000 of Sandisk Make You a Millionaire?Sandisk has been the hottest stock in the market since its debut. Can it keep climbing?
Dow Jones Futures: Trump Vows To 'Obliterate' Iran's Power Plants If Strait Of Hormuz Not OpenedThe major indexes broke long-term support last week as oil prices and bond yields soar. President Trump alternated between ramping up and "winding down" the Iran war.
Better Cybersecurity Stock: Okta vs. ZscalerBoth companies are leaders in their industry, but face a fast-changing landscape.
2 Financial Stocks That Could Double Over the Next 5 YearsWall Street is bullish on these two fintech stocks.
If You Invested $10,000 in Tesla Stock 10 Years Ago, Here's How Much You'd Have TodayTesla shareholders have earned every penny of the monster gains registered over the past decade.
Why it could benefit going forward
- NVIDIA remains the center of AI training and high-end inference demand.
- Its stack includes chips, networking, systems, CUDA, and software libraries, not just GPUs.
- As models get larger and enterprises move into production, full-stack control becomes more valuable.
Moat / edge
- CUDA ecosystem and developer lock-in.
- Leading performance in accelerated computing.
- Integrated platform spanning silicon, interconnect, and software.
What to watch
- Supply-demand balance for each new architecture cycle.
- Mix shift between hyperscalers and enterprise customers.
- Competition from custom silicon and AMD.
Key risks
- Customer concentration and product-transition execution matter a lot.
- Any sharp slowdown in capex could compress expectations quickly.
Business snapshot
NVIDIA Corporation operates as a data center scale AI infrastructure company. The company operates through two segments, Compute & Networking, and Graphics segments. The Compute & Networking segment provides data center accelerated computing and networking platforms and artificial intelligence solutions and software, and automotive platforms and autonomous and electric vehicle solutions, including software. The Graphics segment offers GeForce GPUs for gaming and PCs; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics. The company's products are used in gaming, professional visualization, data center, and automotive markets. The company sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants worldwide. It has a collaboration with Tech Mahindra Limited to develop artificial intelligence powered telco network operations reasoning agent. The company has a strategic partnership with Lumentum Holdings Inc. to develop optics technologies for AI and data centers. It also has a strategic partnership with Nebius Group N.V. to develop and deploy hyperscale cloud for the artificial intelligence market. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.