BN · rank #13 · 2026-09-08
LSCC
NASDAQ · $16.46B (USD)
The exact numbers the algorithm saw.
| Composite score Z-score blend of the factors below; drives the rank. | 0.36 |
|---|---|
| Forward revenue growth Consensus forward revenue growth. | +45.1% |
| Forward net margin Consensus forward net margin. | +5.8% |
| Net margin TTM Trailing twelve month net margin. | +5.6% |
| Margin expansion Forward minus trailing net margin (percentage points). | +0.2% |
| Forward PEG Forward P/E to growth. Below 1 is cheap for the growth. | 0.59 |
| Debt / FCF Net debt relative to free cash flow. Lower is safer. | 0.18× |
| Analyst upside Spread between the consensus 12m target and the current price. | +42.0% |
| Last EPS surprise Most recent reported EPS versus consensus. | -8% |
| Market cap (USD) | $16.46B |
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
Lattice Semiconductor designs low-power FPGAs and, post-AMI acquisition, an integrated platform firmware stack targeting the control, security, and management layer of data-center servers, networking, and edge AI infrastructure.
Rationale
Record Q2 2026 revenue of ~$201M (+62% YoY), 65% guided FPGA growth in Q3, a forward PEG of 0.59, and 41% analyst upside collectively reinforce the bottleneck-solver thesis that LSCC occupies a structurally necessary control-plane position in AI server buildouts that larger compute-focused vendors do not directly contest.
Material risks
- 1Hyperscalers and major OEMs could internalize BMC/platform-firmware functions or adopt rival stacks, directly displacing the AMI-augmented software moat that now justifies the $1.65B acquisition premium and the bulk of the re-rating thesis.
- 2AMI integration complexity could delay accretion to margins and FCF while adding leverage risk to a business that previously carried near-zero debt, and the last EPS surprise of -8.3% signals execution is not yet flawless.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 2 of 3 voted to proceed.