Instinct GPUs give hyperscalers a second-source path for AI training and inference.
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Price
$511.57
1D change
+4.73%
Market cap
$834.17B
Sector
Technology
| Metric | AMD |
|---|---|
| Price | $511.57 |
| 1D Change | +4.73% |
| Market Cap | $834.17B |
| Enterprise Value | $825.69B |
| Trailing P/E | 169.4 |
| Forward P/E | 39.0 |
| Price / Sales | 22.3 |
| EV / Revenue | 22.0 |
| Revenue Growth | 37.8% |
| Earnings Growth | 91.2% |
| Gross Margin | 53.1% |
| Operating Margin | 14.4% |
| Net Margin | 13.4% |
| ROE | 8.1% |
| Free Cash Flow | $7.17B |
| FCF Margin | 19.2% |
| Debt / Equity | 6.00x |
| Current Ratio | 2.73x |
| Dividend Yield | — |
| Next Earnings | Aug 04, 2026 |
| Quarterly Revenue | $10.25B |
| Revenue QoQ | -0.2% |
| Quarterly Net Income | $1.38B |
| Net Income QoQ | -8.5% |
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.