BN · rank #2 · 2026-10-26
BESI
AMSTERDAM · EUR · $12.86B (USD)
The exact numbers the algorithm saw.
| Composite score Z-score blend of the factors below; drives the rank. | 1.14 |
|---|---|
| Forward revenue growth Consensus forward revenue growth. | +33.2% |
| Forward net margin Consensus forward net margin. | +36.2% |
| Net margin TTM Trailing twelve month net margin. | +32.9% |
| Margin expansion Forward minus trailing net margin (percentage points). | +3.3% |
| Forward PEG Forward P/E to growth. Below 1 is cheap for the growth. | 0.62 |
| Debt / FCF Net debt relative to free cash flow. Lower is safer. | 1.24× |
| Analyst upside Spread between the consensus 12m target and the current price. | +66.2% |
| Last EPS surprise Most recent reported EPS versus consensus. | +2% |
| Market cap (USD) | $12.86B |
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
BE Semiconductor Industries (BESI) designs and manufactures advanced semiconductor assembly equipment, with hybrid-bonding systems for AI, memory, and co-packaged optics representing its highest-growth and most differentiated product line.
Rationale
The bottleneck-solver thesis is directly reinforced: BESI holds a de facto leading position in hybrid-bonding equipment—a genuine precision-placement bottleneck for next-generation AI chip packaging—with 215+ systems of cumulative demand, 23 active customers, YTD orders more than doubling, and a forward PEG of 0.62 implying the market has not fully priced the structural adoption curve.
Material risks
- 1ASMPT or an internal customer program closes the accuracy/throughput gap in hybrid bonding, eroding BESI's near-sole-source position and collapsing the premium valuation multiple that the bottleneck thesis depends on.
- 2AI capex timing shifts or export-control tightening cause customers to defer hybrid-bonding tool orders, exposing the flat Q4 guidance as the leading edge of a broader demand pause rather than a temporary scheduling effect.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 3 of 3 voted to proceed.