STOCK · NVDA · Nasdaq
NVIDIA Corporation trades under the ticker symbol NVDA on the Nasdaq. This page brings together its live stock price, an interactive price chart, and key fundamentals like market capitalization, 52-week range, dividend yield, and the next earnings date, with plain-English context to help you understand what the numbers mean.
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Nvidia makes the chips that train the world's AI models. Its data center GPUs have been in such high demand that major cloud providers and AI labs have spent billions securing supply. Revenue grew over 120% year-over-year in 2024 as AI infrastructure spending ramped sharply.
What makes Nvidia hard to displace is CUDA, the software platform developers use to program its GPUs. CUDA has been built up over 15 years, so Nvidia's hardware advantages are reinforced by deep software lock-in. Switching to a competitor's chip isn't just a hardware decision; it's a software migration.
Nvidia also sells into gaming, automotive, and professional visualization, but data center now dominates the revenue mix. Gross margins have expanded significantly as AI demand has outpaced supply.
Source: Nvidia SEC filings (10-K) and investor relations · Last reviewed June 2026
Nvidia designs the chips, networking, and software that sit at the center of the artificial intelligence buildout, which makes it the main supplier of the hardware most AI projects depend on. Its data center business, which now ships full rack-scale systems to cloud providers and large model builders rather than just individual chips, has grown so dominant that it dwarfs the gaming roots the company came from. What ties the whole system together is CUDA, a software layer that most AI frameworks and published models are already optimized to run on, which keeps customers loyal even when rivals advertise cheaper hardware. The long term question that frames the stock is whether Nvidia can hold that hardware and software lead through a fast product cadence while a handful of giant customers, custom in-house chips, and the unsettled question of whether AI spending will pay off all press on the business at once.
Educational analysis from public filings. This is not a recommendation to buy or sell any security.
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Sources: Nvidia 10-K (SEC EDGAR), Nvidia Investor Relations · Last reviewed June 2026
Valuation, Volatility, Market Cap
Historically, the company has used a mix of reinvestment, buybacks, and dividends.
On average, capital spending used about 5% of operating cash flow across 3 fiscal years (FY2024-FY2026) - a small share of the cash the business generated went back into it, leaving most available for other uses.
Reported share repurchases in 8 of the 10 fiscal years shown, totaling about $97.2B (FY2016-FY2026).
Paid a per-share dividend in each of the 10 fiscal years shown (FY2017-FY2026). The annual per-share dividend did not decline year over year within FY2023-FY2026 (comparable per-share basis). In FY2026, dividends paid totaled about $974M.
The total debt balance rose over the window: about $2.0B in FY2017 vs about $9.5B in FY2026. This describes the balance's direction, not repayments.
As of FY2026, held about $10.6B in cash and equivalents vs about $9.5B of total debt - more cash than total debt at that date.
Derived from annual figures this company reported to the SEC (EDGAR XBRL company facts). Descriptive history only: not a forecast, not a rating, not investment advice.
Nvidia designs the chips, networking, and software that sit at the center of the artificial intelligence buildout, which makes it the main supplier of the hardware most AI projects depend on. Its data center business, which now ships full rack-scale systems to cloud providers and large model builders rather than just individual chips, has grown so dominant that it dwarfs the gaming roots the company came from.
The CUDA software ecosystem has been built up over many years and now underpins most AI frameworks and published models, so switching to a rival chip means rewriting low-level code and retraining engineering teams.
Spending on AI data centers by the largest cloud companies is still climbing, and for now demand for each new generation of Nvidia systems runs ahead of what the supply chain can deliver.
A small number of very large cloud customers account for a heavy share of data center revenue, so a pause or pullback by even a few of them would hit Nvidia far harder than a broad customer base would.
Nvidia is heavily dependent on TSMC for chip fabrication, creating concentration risk tied to Taiwan. US export restrictions on advanced chips limit sales to China, which was previously a significant revenue source.
Nvidia carries a premium valuation that assumes its extraordinary growth continues, and its history shows the underlying chip business can swing through boom and bust cycles, so the price already embeds a great deal of optimism. Judge it using the segment revenue, customer concentration, and inventory and supply commitment disclosures in the company's own filings rather than any outside estimate.
Watch how concentrated revenue is among the largest customers and how fast their own custom chips scale, because the balance between those two forces is the clearest signal of how durable Nvidia's pricing power really is.
Educational content only. Market data is delayed and is not financial advice. Always do your own research and consult a licensed professional before investing.