BN · rank #14 · 2026-09-04
LSCC
NASDAQ · $16.14B (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. | +44.8% |
| Last EPS surprise Most recent reported EPS versus consensus. | -8% |
| Market cap (USD) | $16.14B |
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
Lattice Semiconductor (LSCC) is a low-power FPGA and platform firmware company targeting edge AI, sensor fusion, secure boot, and post-quantum cryptography across data center, communications, industrial, and automotive markets.
Rationale
The bottleneck-solver thesis is directly reinforced by Lattice's role as a companion-chip aggregator bridging multi-sensor data into GPU-accessible memory (NVIDIA Holoscan collaboration), with 62% YoY revenue growth, 70%+ gross margins, and a 0.59 forward PEG signaling the market has not yet priced the structural demand inflection.
Material risks
- 1Large SoC and GPU vendors (NVIDIA, AMD) could absorb sensor-bridge and low-power AI inference functions natively into next-generation silicon, eliminating the discrete FPGA companion-chip bottleneck that underpins the entire thesis.
- 2The most recent EPS surprise was -8.3%, and the forward net margin of only 5.8% (versus 70%+ gross margins) signals elevated opex from the AMI acquisition integration, creating execution risk if revenue growth decelerates before cost synergies materialize.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 3 of 3 voted to proceed.