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NVIDIA Corporation · Static research snapshot · 4 September 2026
Identity & Business Core

NVIDIA Corporation NVDA

NASDAQ Global Select Market · Technology · Semiconductors / AI Infrastructure · Santa Clara, California
Share Price
$228.45
3 Sep 2026 close
Market Cap
$5.51T
3 Sep 2026
Next Report
Nov 2026*
Q3 FY2027 · see note
52-Week Range
$164.07–236.54
Market data snapshot
YTD Return
+22.6%
vs. 31 Dec 2025 close
Latest SEC Filing
10-Q
Quarter ended 26 Jul 2026
Business Model & Strategic Prospects
What NVIDIA monetizes · where the growth engine is moving
NVIDIA monetizes accelerated computing by selling integrated AI and graphics platforms built around GPUs, networking, systems and proprietary software to hyperscalers, AI clouds, enterprises, governments and OEMs. The economic engine has shifted decisively toward data-center infrastructure, where Blackwell-class systems, networking and CUDA-based software combine into a full-stack architecture with very high gross margins. Revenue growth therefore depends on AI infrastructure capex, NVIDIA's ability to stay ahead on performance per watt and total cost of ownership, and the durability of its software/developer ecosystem.
  • Blackwell Ultra ramp: continued conversion of large AI-factory pipelines into recognized revenue.
  • Vera Rubin transition: sustaining the rapid architecture cadence while customers absorb increasingly complex rack-scale systems.
  • Broader AI demand: expansion beyond hyperscalers into AI-native firms, sovereign AI, industrial customers and enterprise inference.
  • Open-model ecosystem: the announced Hugging Face acquisition broadens NVIDIA's strategic reach into model distribution and developer workflows.
  • Edge / physical AI: RTX AI PCs, robotics and edge-computing platforms create a second vector of demand beyond hyperscale data centers.
Earnings History & Revenue Architecture
Latest SEC filings and NVIDIA investor-relations disclosures
Next Earnings17 Nov 2026*
Fiscal PeriodQ3 FY2027
Latest Revenue$96.2B
GAAP EPS$2.46
PeriodRevenueYoYNet IncomeGAAP EPS
Q2 FY2027$96.22B+106%$59.69B$2.46
Q1 FY2027$81.62B+85%$58.32B$2.39
Q4 FY2026$68.13B+73%$42.96B$1.76
Q3 FY2026$57.01B+62%$31.91B$1.30
* External event calendars currently indicate 17 November 2026 for Q3 FY2027. As of this snapshot, NVIDIA's investor-relations site had not yet posted its usual formal conference-call notice, so the date should be treated as calendar-confirmed rather than company-IR-confirmed.
Where Q2 FY2027 Revenue Comes From
Hyperscale50.6%
AI Clouds, Industrial & Enterprise41.9%
Edge Computing7.5%
Platform view: Data Center = $89.0B, or 92.5% of total revenue; Edge Computing = $7.2B, or 7.5%.
Geographic Revenue · Customer Headquarters
United States62.4%
Taiwan28.0%
China incl. Hong Kong8.2%
Other1.3%
EDGAR cautions that customer-headquarters geography may differ from end-customer and shipping location. NVIDIA estimates that much of Taiwan-headquartered Data Center revenue ultimately serves U.S. and European end customers.
Historical & Short-Term Performance
Static embedded market observations · no live API dependency
Monthly Split-Adjusted Price · Jan 2010–Sep 2026
Log scale
Jan 2010$0.35
Latest$228.45
Price Change+65,171%
ScaleLogarithmic
2026 YTD Price Action
Month-end closes + latest
YTD Return+22.6%
YTD High$236.54
YTD Low$164.07
Monthly-Close MDD-8.7%
Latest Company Intelligence
Selected for investment relevance · not a general news feed
3 Sep 2026 · Reuters

NVIDIA agrees to acquire Hugging Face for $12.93B

Why it matters: extends NVIDIA from compute infrastructure deeper into open-model distribution and developer workflow, potentially reinforcing ecosystem control.

3 Sep 2026 · Reuters

RTX Spark AI PCs set for October launch

Why it matters: supports the edge-AI thesis by pushing local inference and AI workloads into commercial PCs beyond the data-center franchise.

1 Sep 2026 · Reuters

Dell raises forecasts as AI-server demand accelerates

Why it matters: Dell's order strength provides an external read-through on continuing demand for systems built around NVIDIA accelerators.

27 Aug 2026 · Reuters

NVIDIA pauses some AI-cloud revenue-sharing deals

Why it matters: highlights the growing complexity of customer-financing structures and the need to distinguish end demand from ecosystem-supported deployment.

Investment Thesis
Structural catalysts versus structural risks
Bulls Say
  • AI compute remains a secular infrastructure build rather than a single product cycle, with multiple frontier labs and enterprise inference workloads scaling simultaneously.
  • The CUDA/software ecosystem, NVLink/networking and rack-scale system integration create switching costs that are harder to attack than the GPU alone.
  • Blackwell Ultra and Rubin preserve an aggressive performance cadence that can lower customer cost per token while expanding NVIDIA's dollar content per deployment.
  • Data Center growth is broadening from hyperscalers toward AI clouds, enterprises, sovereigns and industrial AI.
Bears Say
  • Revenue concentration in AI infrastructure makes NVIDIA increasingly sensitive to hyperscaler capex cycles, power constraints and data-center construction bottlenecks.
  • Large customers are developing custom accelerators, which could pressure economics if workloads become more standardized or less CUDA-dependent.
  • NVIDIA is committing capital, credit support and strategic investments across its ecosystem; circular-financing concerns could become a valuation and governance issue.
  • At a multi-trillion-dollar market value, the stock embeds sustained exceptional growth, leaving less room for execution misses or a normalization in gross margins.
Defensive Moat & Resource Management
A-CLUSTER assessment · H1 FY2027 capital deployment
Economic Moat
WIDE

NVIDIA's moat is not simply GPU performance. It is the combination of CUDA software, a vast developer base, specialized networking, high-speed interconnects, full-system engineering and a rapid architecture cadence that together increase switching costs and reduce the appeal of piecemeal alternatives.

CUDA EcosystemSwitching CostsScaleFull-Stack IntegrationDeveloper Network
Capital Deployment · First Half FY2027
Equity Investments
$42.4B
Share Buybacks
$39.0B
Dividends
$6.29B
Capex + Intangibles
$4.43B
Debt Reduction
$0
NVIDIA instead raised approximately $24.9B of debt proceeds in H1 FY2027. Bars are scaled to the largest cash-use item and are not intended to sum to 100%.
Innovation Intensity
Q2 R&D / Revenue
7.3%
Q2 FY2027 R&D expense: $7.05B on $96.22B revenue.
Profile Snapshot
Fast classification layer
SectorTechnology
IndustryAI Semis
Revenue ModelPlatform
CyclicalityMedium-High
Capital IntensityAsset-Light / Supply Heavy
ConcentrationHigh
MoatWide
Growth ProfileHyper-Growth
Sources & Methodology
Primary filings first · market data date-stamped
Primary fundamentals: NVIDIA Form 10-Q for quarter ended 26 Jul 2026 (SEC EDGAR); NVIDIA FY2026 Form 10-K; NVIDIA investor-relations earnings releases for Q3 FY2026 through Q2 FY2027.
Market data: split-adjusted monthly historical closes compiled from StatMuse historical monthly tables; 2026 market snapshot cross-checked against Investing.com / StockAnalysis on 4 Sep 2026. The 2026 YTD chart uses month-end closes plus the latest available close rather than daily observations.
News: Reuters, 27 Aug–3 Sep 2026. Moat and bull/bear thesis: A-CLUSTER analytical assessment, not a third-party rating.
Important: This is a static research snapshot, not live market data and not investment advice.