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 vs. Navitas Semiconductor: Here's What Their Revenue Trends Tell Investors About These Artificial Intelligence Companies
Nvidia has posted eight straight quarters of revenue growth while Navitas Semiconductor faces a downward spiral, widening the gap between the two chipmakers.
Why the Market Continues to Sleep on Micron's Growth PotentialA concerning historical pattern likely has weighed on Micron stock.
Warren Buffett Warned About the Dot-Com Bubble. Now, the Stock Market Is Flashing the Same Warning Signal.Here's how investors should prepare for potential volatility.
Only 2 of These 5 Nuclear Stocks Sell Fuel Today. Here's What the Market Pays for the Other 3.What does $12 billion of market value buy when combined sales run about $12 million?
AMD just made bold move to challenge NvidiaAdvanced Micro Devices (AMD) has spent 2026 proving it can compete with Nvidia in the artificial intelligence race. Its stock has more than doubled this year, and its data center business is growing fast. Now AMD is trying something different. The company just bought a small Toronto startup ...
When Leverage Goes Wrong on Wall StreetHedge fund Situational Awareness is forced to sell its equity holdings, leading to a drop and a pop in AI-related stocks. What went wrong?
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.