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$217.55
Market Capi
$5.3T
Growth-adj P/E (3-yr hist)i
0.2x
Growth-adj P/E (3-yr proj)i
0.2x
P/S 27Ei
13x
P/S 29Ei
6.2x
EV/EBIT 27Ei
19x
EV/EBIT 29Ei
7.9x
P/E 27Ei
22x
P/E 29Ei
11x
P/S 27Ei
13x
EV/EBIT 27Ei
19x
P/E 27Ei
22x
P/S 29Ei
6.2x
EV/EBIT 29Ei
7.9x
P/E 29Ei
11x
Revenue
2027E
$394B
Gross Margini
71%
Hist. CAGRi
100%
Proj. CAGRi
47%
EBIT
2027E
$261B
Op. Margini
60%
Hist. CAGRi
186%
Proj. CAGRi
53%
Net profit
2027E
$230B
Net Margini
56%
Hist. CAGRi
202%
Proj. CAGRi
47%
Business Model
Recent Developments
Average Targeti
$302.83+34%
Consensusi
Buy
61 analysts covering
Net cashi
$152B
Div. Yieldi
0.3%
Buyback Yldi
0.8%
Market Capi
$5.3T
P/E 27Ei
22x
Adj. P/E (fwd.)i
0.2x
Revenue 27E
$394B
Proj. CAGRi
47%
Gross Margini
71%
EBIT 27E
$261B
Proj. CAGRi
53%
Op. Margini
60%
Net Profit 27E
$230B
Proj. CAGRi
47%
Net Margini
56%
Average Targeti
$302.83+34%
Consensusi
Buy
61 analysts covering
Profile
NVIDIA designs accelerated-computing platforms — GPUs, CPUs, networking silicon, and the software layered on top of them — used primarily to train and run AI models in data centers. Revenue is now overwhelmingly concentrated in a single business line, with the remainder split across gaming, professional visualization, and automotive.
Industry
Demand is concentrated among a handful of hyperscale cloud providers — Microsoft, Amazon, Google, Meta, and Oracle — that together account for roughly half of data-center revenue, alongside enterprises, AI labs, and sovereign AI initiatives; a small number of direct customers each exceed 10% of total revenue. The AI-infrastructure market is capital-intensive and increasingly contested as hyperscalers develop custom silicon, yet switching costs embedded in NVIDIA's software stack help sustain industry-leading margins. Reported revenue skews toward Asian manufacturing hubs since chips are invoiced where assembled, not where ultimately deployed.
Key metrics
Economic moat
NVIDIA's durability rests less on chip performance than on CUDA, the software layer — cuDNN, NCCL, TensorRT — that commands an estimated 85%+ share of AI training workloads. Rewriting production AI pipelines onto a rival stack means retraining engineers and revalidating performance, a switching cost few customers accept while demand already outstrips supply. Scale compounds this: NVIDIA co-designs GPUs, CPUs, networking, and system architecture as one integrated platform, a degree of vertical integration rivals struggle to match, while its multi-year order backlog gives it visibility competitors lack.
Jensen Huang
Founded NVIDIA in 1993 alongside Chris Malachowsky and Curtis Priem after working as a chip designer at LSI Logic and Advanced Micro Devices; holds a BSEE from Oregon State University and an MSEE from Stanford. Has run the company as CEO for over three decades, steering its pivot from PC graphics chips to full-stack AI computing platforms. Retains a stake of roughly 3.6% of shares outstanding, among the largest individual holdings of any mega-cap technology CEO.
Colette Kress
Joined NVIDIA in 2013 after senior finance roles at Cisco, Microsoft, and Texas Instruments, including a stint as CFO of Microsoft's Server and Tools division. Oversees NVIDIA's finance organization, including financial planning, accounting, and investor relations, through its transition from a graphics-chip maker to a trillion-dollar AI infrastructure supplier. Holds a finance degree from the University of Arizona and an MBA from SMU's Cox School of Business.
Debora Shoquist
Leads NVIDIA's silicon supply chain, manufacturing, and foundry relationships since joining the company in 2007, following operations leadership roles at JDS Uniphase, Coherent, and Quantum Corp. Her organization has been central to managing the capacity constraints that have shaped NVIDIA's chip supply through the current AI demand cycle.
Other key figures
Chris Malachowsky co-founded NVIDIA with Huang in 1993 after working on graphics systems at Sun Microsystems and remains with the company today as an NVIDIA Fellow. Jay Puri (EVP, Worldwide Field Operations) and Tim Teter (EVP, General Counsel and Secretary) round out the senior leadership team overseeing global sales and legal affairs.
P/S Ratioi
EV/EBITi
P/E Ratioi
Revenue
CAGR (hist. 3-yr)i
0%
CAGR (proj. 3-yr)i
0%
EBIT
CAGR (hist. 3-yr)i
0%
CAGR (proj. 3-yr)i
0%
Net profit
CAGR (hist. 3-yr)i
0%
CAGR (proj. 3-yr)i
0%
Values in billions of USD.
Operating cashflow · Levered Free Cash Flow
Free Cash Flow
CAPEX
Values in billions of USD.
Margins
Rentability
Balance sheet
Values in billions of USD.
Liquidity ratios
Debt-to-Equity-Ratio
Last earnings
For the quarter ended April 26, 2026, NVIDIA reported record revenue of $81.6 billion, up 85% year-over-year, with non-GAAP EPS of $1.87.
Data Center revenue set a new high at $75.2 billion, up 92% year-over-year, driven by ramping Blackwell Ultra and Blackwell 300 shipments alongside continued demand for InfiniBand, Spectrum-X Ethernet, and NVLink networking.
Management guided next-quarter revenue to $91.0 billion, plus or minus 2%, a figure that assumes no Data Center compute revenue from China.
The board raised the quarterly dividend from $0.01 to $0.25 per share and authorized an additional $80 billion in share repurchases, signaling confidence in sustained free cash flow generation.
Recent developments
On August 10, 2026, NVIDIA agreed to memoranda of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to mobilize over $500 billion in third-party financing for AI compute infrastructure, structured so the buildout does not add directly to NVIDIA's own balance sheet.
The company contributed $30 billion to OpenAI's latest funding round alongside SoftBank and Amazon, securing OpenAI dedicated inference and training capacity on upcoming Vera Rubin systems.
On August 17, 2026, NVIDIA committed $1.5 billion to SB Energy, backing a Pike County, Ohio compute campus that SB Energy will build and lease to OpenAI over 20 years.
NVIDIA also launched Cosmos 3, an open foundation model for physical AI, on May 31, 2026, and formed a new industry coalition with robotics and AI labs to advance open world models. Export licenses for H200 chips to specific China-based customers began flowing in early 2026, though the company has yet to recognize meaningful revenue from that channel.
Debate & sentiment
Bulls point to Data Center revenue still growing at a rapid sequential clip and argue that hyperscaler AI capital spending remains matched by expanding cloud-AI revenue rather than running ahead of it.
Skeptics counter that combined AI infrastructure spending across the largest hyperscalers has climbed past $700 billion for the year and question whether that outlay is generating proportional returns yet.
CEO Jensen Huang has pushed back publicly on bubble concerns, framing compute as foundational infrastructure "like electricity, like the internet," while some independent valuation models still see the stock trading below intrinsic value.
China policy remains a swing factor: current guidance already excludes China Data Center compute revenue, leaving any further loosening or tightening of export rules as a source of upside or downside surprise.
Consensusi
Buy
Average targeti
$302.83+34%
Highest targeti
$500.00+122%
Lowest targeti
$180.00-20%
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