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.
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Latest headlines
Recent company headlines. Each link opens the original article in a new tab.
Should investors play AI bottlenecks over social media stocks?
Should investors bet more on the AI infrastructure bottlenecks than on other tech trends, such as social media? Today's Market Hang panel consists of Host Turney Duff, Yahoo Finance Executive Editor Brian Sozzi, Defiance ETFs CIO Sylvia Jablonski, Interactive Brokers chief strategist Steve Sosnick, and Gerber Kawasaki Wealth & Investment Management CEO Ross Gerber.
Alibaba rolls out what it's touting as China's most powerful AI chipAlibaba's (BABA) stock price is climbing premarket after it rolled out a new AI chip, the Zhenwu V900, pitting it against Nvidia chips as a powerful competitor. The 8:30 hosts, Julie Hyman, Pras Subramanian, and Jake Conley, discuss why it may not be a major threat to Nvidia and why China is focusing more on international markets than on domestic ones.
If the Market Crashes, This Is the 1 Space Stock I Can't Wait to BuyA steep sell-off could turn Rocket Lab into a compelling buy.
Trump-Xi Summit Could Reset Trade Tensions. 3 Things Investors Are Watching.President Donald Trump and China’s Xi Jinping are seeking stability as investors watch for progress on tariffs, trade deals, AI and Taiwan.
Why Is NVIDIA Getting Cheaper While Apple Hits New All-Time HighsApple shares reached a fresh ATH above $344, while NVIDIA's forward valuation multiple has compressed sharply despite record revenue growth.
Elon Musk Is Going All In on Nvidia, but Are These Two Chip Stocks Better Buys?The inference market is expected to grow faster than training, opening the door for AMD and Broadcom to outperform.
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.