Metric timing
This page mixes live market data, trailing fundamentals, and latest reported statement data.
Price, 1D change, market cap, and enterprise value are current market-based figures.
Most valuation and margin cards are trailing twelve months, while forward P/E uses forward consensus.
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.
Salesforce (CRM) CEO Marc Benioff speaks with Yahoo Finance Executive Editor Brian Sozzi about how the AI industry is just following Nvidia (NVDA) CEO Jensen Huang's lead and the chipmaker's contribution to Salesforce's AIforce platform.
Lucid stock jumps on 25,000 robotaxi deal with Europe's BoltLucid (LCID) stock jumped on Wednesday after the electric vehicle maker signed a major partnership with European ride-hailing platform Bolt to deploy at least 25,000 autonomous vehicles across major European cities, extending Lucid's robotaxi push beyond the US for the first time.
SpaceX or Rocket Lab: Which Space Stock Is the Better Buy for the Next Decade?Both companies are battling for commercial orbital supremacy.
1 Tech Stock That's Too Good to Pass On as We Approach the Fourth QuarterIts performance this year has been underwhelming, but its long-term appeal is strong.
Prediction: The Invesco QQQ Trust Beats the S&P 500 Again Over the Next 5 YearsBoth funds are built on the same market leaders. The difference is how much -- and what gets left out.
Why GE Vernova Stock Bumped Higher TodayIt reached a legal settlement with a business partner.
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 in the United States, Taiwan, China, Hong Kong, Europe, and internationally. It operates through 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. It 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. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.