BN · rank #3 · 2026-07-24
AMD
NASDAQ · $887.75B (USD)
The exact numbers the algorithm saw.
| Composite score Z-score blend of the factors below; drives the rank. | 0.84 |
|---|---|
| Forward revenue growth Consensus forward revenue growth. | +57.4% |
| Forward net margin Consensus forward net margin. | +15.4% |
| Net margin TTM Trailing twelve month net margin. | +13.4% |
| Margin expansion Forward minus trailing net margin (percentage points). | +2.0% |
| Forward PEG Forward P/E to growth. Below 1 is cheap for the growth. | 1.29 |
| Debt / FCF Net debt relative to free cash flow. Lower is safer. | 0.45× |
| Analyst upside Spread between the consensus 12m target and the current price. | +0.4% |
| Last EPS surprise Most recent reported EPS versus consensus. | +6% |
| Market cap (USD) | $887.75B |
The AI research card
Independent qualitative review of each pick before the order is placed. On the rare day the research service is unavailable, the paper book trades on the quant ranking alone and no card appears here.
Summary
AMD designs high-performance CPUs and GPUs for data center, PC, and gaming markets, with its Instinct MI-series AI accelerators and EPYC server CPUs now driving the majority of revenue growth.
Rationale
With Q1 2026 revenue of $10.25B, Q2 guidance of ~$11.2B implying ~57% YoY growth, and Data Center as the structural demand engine, AMD fits the bottleneck-solver thesis as a credible second-source AI compute supplier at a 1.29x forward PEG — cheap for the growth rate.
Material risks
- 1NVIDIA's CUDA ecosystem lock-in and accelerating custom ASIC buildouts by hyperscalers (Google TPU, Amazon Trainium, Microsoft Maia) could compress AMD's AI GPU addressable market before MI-series achieves software ecosystem parity — the classic in-house displacement risk for this strategy.
- 2AMD's bottleneck-solver edge depends on HBM and advanced packaging supply from third parties (TSMC CoWoS, SK Hynix HBM); any allocation squeeze or yield issue at those suppliers directly caps AMD's ability to fulfill AI accelerator demand and revenue visibility.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 1 of 3 voted to proceed.