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live pathsNasdaqGS · Technology
$206.84
▼ -$1.92(-0.92%)4:00 PM ET - vs previous closeiQuote as of Jul 24, 2026, 4:00 PM EDT
NasdaqGS market is closed. Showing the latest available regular-session trade from Jul 24, 2026, 4:00 PM EDT.
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Latest 1D session
1Y · weekly bars · USD · Live $206.84 · 255 pts
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Investor playbook
The page is most useful as a monitor until one side gets cleaner confirmation.
Use it for
Entry timing, risk check, and catalyst scan
What has to keep working for US investors to stay interested.
Trend support
+7.3%Current price is above the 200-day average.
Where the dashboard says the thesis can break or get crowded.
Multiple expanding
+11.3%Forward P/E sits above trailing — consensus expects earnings to fall from here.
Catalysts and positioning checks that are not duplicate live-pulse metrics.
Latest catalyst
The Motley FoolNvidia's Jensen Huang Confirmed Vera Rubin Chips Are Already in Production
The playbook is derived from quote, analyst, financial, news, and trend snapshots. It is a research workflow aid, not a buy or sell recommendation.
As of Jul 24, 2026, 4:00 PM EDT, NVIDIA Corp (NVDA) traded at $206.84, a -0.92% move versus the prior close, ranging between $204.81 and $211.91 intraday, and on volume of 110.84M shares. The stock has traded between $164.07 and $236.54 over the past 52 weeks, carries a market capitalization of $5.01T, trades at 31.63x trailing earnings, and yields 0.5% in dividends. Sell-side analysts rate NVDA Buy across 69 ratings and carry an average price target of $302.83 (+46.41% implied versus the last quote). NVDA's record close stands at $236.54, set on May 14, 2026.
Buy analyst tone. Latest catalyst: Nvidia's Jensen Huang Confirmed Vera Rubin Chips Are Already in Production (The Motley Fool). TECHi maps NVDA to 1 AI leaders and 2 major AI products, making the AI-infrastructure angle visible beside the quote. Fairly valued relative to growth.
Balanced watch. Track record validation (86/100) is the strongest signal; valuation pressure (53/100) is the main constraint. Model confidence is 26/100 — some inputs are unavailable, so treat this as a directional research screen rather than a forecast. Long-term secular context is tracked separately: 20 Years +66826.7% total; yesterday -0.9%. Comparable past signals have verified against subsequent prices 20.3% of the time.
Expected-return math is scaled by beta and realized volatility before confidence is applied.
Short-horizon expected moves are volume-weighted so thin moves get less credit than confirmed tape.
Sector momentum is included beside the broader market regime.
Roadmap and developer-channel coverage provide additional issuer-level context.
The strategy layer connects price action with business drivers, financial quality, estimate revisions, and the risks that can change the thesis.
NVIDIA affects people through the accelerated-computing stack behind AI training, inference, scientific simulation, medical imaging, robotics, autonomous systems, creative tools, and developer workflows. The upside is faster deployment of compute-heavy applications; the risk is deeper dependence on a concentrated hardware, software, power, and supply-chain ecosystem.
The durable NVIDIA story is not simply “AI is big and NVIDIA makes chips.” The deeper thesis is that NVIDIA has become a full-stack AI infrastructure provider: GPUs, rack-scale systems, networking, CUDA, inference optimization, and the software layer that customers standardize around.
The quote page should therefore explain what the live chart cannot: why hyperscalers keep buying, why CUDA remains sticky, how Blackwell/Rubin/Feynman create product-cycle visibility, and where custom silicon or customer ROI could weaken the story.
The latest official quarter sharpened that frame. NVIDIA reported Q1 FY2027 revenue of $81.6B, up 85% year over year, with Data Center revenue of $75.2B. That scale makes NVDA less like a normal semiconductor cycle and more like the market’s cleanest public read on AI infrastructure spending.
Blackwell
Current AI factory upgrade cycle and system-level accelerator platform for hyperscale deployment, including the Blackwell 300 product ramp cited in NVIDIA’s latest official results.
Rubin / Rubin Ultra
Next procurement cycle for inference economics, memory bandwidth, rack density, and customer upgrade planning.
Feynman
Longer-range architecture visibility that supports multi-year customer budgets and investor runway analysis.
Custom silicon
Google, Amazon, Microsoft, or Meta route more internal AI workloads to their own chips.
Check: Compare total AI workload growth against NVIDIA share loss. A growing market can offset moderate share erosion.
AMD execution
Large production deployments validate ROCm and improve customer confidence outside NVIDIA.
Check: Track whether AMD wins frontier training, inference, or mostly price-sensitive secondary workloads.
Export controls
China rules tighten or remain restrictive enough to cap high-end accelerator sales.
Check: Separate lost China demand from non-China hyperscaler, enterprise, and sovereign AI demand.
Sizing
Keep position sizing educational and general. Do not let one AI winner silently become the entire portfolio thesis.
Review trigger
Re-check the thesis when hyperscaler capex, Data Center margin, or custom silicon adoption changes direction.
Theme alternatives
AMD, Broadcom, SMH, and SOXX explain other ways to express the AI infrastructure theme without making NVDA the only lever.
| Enterprise value | $5.14T |
| Price / sales | 20.26 |
| Price / book | 26.35 |
| Operating margin | 64.02% |
| Return on assets | 61.51% |
| EPS (TTM) | $6.54 |
| Beta (5Y) | 2.21 |
Benchmark context
Compare against its sector ETF and the broad market.
Help · FAQ
5 answers covering latest price, analyst view, leadership, and sector context.
TECHi articles and Two Takes linked to NVDA. Full feed on the NVDA news page.
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