Instinct GPUs give hyperscalers a second-source path for AI training and inference.
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Price
$449.04
1D change
+11.04%
Market cap
$736.46B
Sector
Technology
| Metric | AMD |
|---|---|
| Price | $449.04 |
| 1D Change | +11.04% |
| Market Cap | $736.46B |
| Enterprise Value | $729.90B |
| Trailing P/E | 95.9 |
| Forward P/E | 25.5 |
| PEG Ratio | 0.40x |
| Price / Sales | 16.2 |
| EV / Revenue | 16.1 |
| Revenue Growth | 44.7% |
| Earnings Growth | 93.8% |
| Gross Margin | 56.0% |
| Operating Margin | 21.2% |
| Net Margin | 16.8% |
| ROE | 12.0% |
| Free Cash Flow | $7.36B |
| FCF Margin | 16.2% |
| Debt / Equity | 0.13x |
| Current Ratio | 2.73x |
| Dividend Yield | 0.00% |
| Next Earnings | Feb 02, 2027 |
| Quarterly Revenue | $13.38B |
| Revenue QoQ | +16.0% |
| Quarterly Net Income | $2.43B |
| Net Income QoQ | +5.7% |
AMD thesis lens
GPU/CPU AI accelerator challenger
Why it could benefit
- Instinct GPUs give hyperscalers a second-source path for AI training and inference.
- EPYC CPUs and adaptive compute help AMD participate across the AI server bill of materials.
- If open accelerator ecosystems broaden, AMD can gain share from customers avoiding single-vendor dependence.
Moat / edge
- High-performance CPU franchise and growing GPU roadmap.
- Deep relationships with hyperscalers, OEMs, and enterprise server buyers.
- Chiplet design capability and manufacturing partnership with TSMC.
What to watch
- Instinct shipment ramp and software maturity.
- Gross margin mix between CPUs, GPUs, gaming, and embedded.
- Cloud customer adoption versus Nvidia alternatives.
Key risks
- Nvidia's software ecosystem remains the hardest competitive hurdle.
- AI GPU demand can be lumpy if customer qualification slips.