BN · rank #5 · 2026-09-10
ALAB
NASDAQ · $52.14B (USD)
The exact numbers the algorithm saw.
| Composite score Z-score blend of the factors below; drives the rank. | 0.80 |
|---|---|
| Forward revenue growth Consensus forward revenue growth. | +55.8% |
| Forward net margin Consensus forward net margin. | +31.3% |
| Net margin TTM Trailing twelve month net margin. | +30.7% |
| Margin expansion Forward minus trailing net margin (percentage points). | +0.6% |
| Forward PEG Forward P/E to growth. Below 1 is cheap for the growth. | — |
| Debt / FCF Net debt relative to free cash flow. Lower is safer. | 0.15× |
| Analyst upside Spread between the consensus 12m target and the current price. | +29.8% |
| Last EPS surprise Most recent reported EPS versus consensus. | +17% |
| Market cap (USD) | $52.14B |
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
Astera Labs is a fabless semiconductor company selling AI fabric switches, CXL smart memory controllers, and PCIe/CXL signal-conditioning products that directly unclog bandwidth and memory bottlenecks in hyperscale rack-scale AI infrastructure.
Rationale
With 104% YoY revenue growth, a Scorpio X-Series 320-lane fabric switch ramping in Q3 2026, and Leo CXL controllers embedded in Azure M-series VM preview, ALAB is a textbook bottleneck-solver whose products are structurally embedded in the AI infrastructure stack rather than riding sentiment alone.
Material risks
- 1Hyperscale customers (Microsoft, likely others) could internalize CXL memory-controller and fabric-switch functionality into custom ASICs or CPU/GPU SoCs, eliminating the discrete connectivity layer that is Astera's entire revenue base.
- 2No disclosed long-term take-or-pay contracts or order backlog means revenue visibility depends on hyperscaler capex cycles and AI build-out pace, leaving the bottleneck-solver thesis exposed to a single spending-cycle deceleration.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 2 of 3 voted to proceed.