NVIDIA remains the center of AI training and high-end inference demand.
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Price
$203.28
1D change
+0.23%
Market cap
$4.92T
Sector
Technology
| Metric | NVDA |
|---|---|
| Price | $203.28 |
| 1D Change | +0.23% |
| Market Cap | $4.92T |
| Enterprise Value | $4.88T |
| Trailing P/E | 31.0 |
| Forward P/E | 15.8 |
| PEG Ratio | 0.56x |
| Price / Sales | 19.4 |
| EV / Revenue | 19.2 |
| Revenue Growth | 85.2% |
| Earnings Growth | 214.5% |
| Gross Margin | 74.1% |
| Operating Margin | 65.6% |
| Net Margin | 63.0% |
| ROE | 114.3% |
| Free Cash Flow | $46.34B |
| FCF Margin | 18.3% |
| Debt / Equity | 6.55x |
| Current Ratio | 3.44x |
| Dividend Yield | 0.49% |
| Next Earnings | Aug 26, 2026 |
| Quarterly Revenue | $81.61B |
| Revenue QoQ | +19.8% |
| Quarterly Net Income | $58.32B |
| Net Income QoQ | +35.8% |
NVDA thesis lens
AI compute platform
Why it could benefit
- 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.