BN · rank #1 · 2026-10-22
AIXA
XETRA · EUR · $4.06B (USD)
The exact numbers the algorithm saw.
| Composite score Z-score blend of the factors below; drives the rank. | 1.15 |
|---|---|
| Forward revenue growth Consensus forward revenue growth. | +42.3% |
| Forward net margin Consensus forward net margin. | +16.0% |
| Net margin TTM Trailing twelve month net margin. | +12.1% |
| Margin expansion Forward minus trailing net margin (percentage points). | +3.9% |
| Forward PEG Forward P/E to growth. Below 1 is cheap for the growth. | 2.08 |
| Debt / FCF Net debt relative to free cash flow. Lower is safer. | 1.28× |
| Analyst upside Spread between the consensus 12m target and the current price. | +51.4% |
| Last EPS surprise Most recent reported EPS versus consensus. | +31% |
| Market cap (USD) | $4.06B |
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
AIXTRON SE designs and sells MOCVD/CVD epitaxy deposition systems for compound semiconductors used in AI optical transceivers, power GaN/SiC, RF, and microLED applications.
Rationale
The AI-chip-equipment-bottleneck signal is directly reinforced by AIXA's G10-AsP systems winning Lumentum orders for AI-network optical manufacturing, Q3 order intake more than doubling YoY to €275M, and backlog surging to €457M — concrete evidence of a structural capacity bottleneck AIXTRON is actively solving.
Material risks
- 1AIXTRON holds strong process know-how but is not sole-source — Veeco competes directly, and if Lumentum or other optical transceiver customers qualify Veeco tools or accelerate in-house process development, the bottleneck moat narrows materially and the thesis partially disconfirms.
- 2SiC/GaN power-electronics customers remain underutilized and are deferring capacity purchases, meaning roughly half the original bottleneck thesis (power conversion) is currently not firing, concentrating the entire bull case on the AI-optics cycle.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 3 of 3 voted to proceed.