BN · rank #11 · 2026-07-20
SU
PARIS · EUR · $169.22B (USD)
The exact numbers the algorithm saw.
| Composite score Z-score blend of the factors below; drives the rank. | -0.26 |
|---|---|
| Forward revenue growth Consensus forward revenue growth. | +8.9% |
| Forward net margin Consensus forward net margin. | +11.1% |
| Net margin TTM Trailing twelve month net margin. | +10.4% |
| Margin expansion Forward minus trailing net margin (percentage points). | +0.7% |
| Forward PEG Forward P/E to growth. Below 1 is cheap for the growth. | 1.89 |
| Debt / FCF Net debt relative to free cash flow. Lower is safer. | 1.99× |
| Analyst upside Spread between the consensus 12m target and the current price. | +17.7% |
| Last EPS surprise Most recent reported EPS versus consensus. | — |
| Market cap (USD) | $169.22B |
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
Schneider Electric is a global energy management and industrial automation leader providing end-to-end grid-to-chip infrastructure—hardware, software, and services—purpose-built for AI data center power and cooling bottlenecks.
Rationale
The bottleneck_solver thesis is directly reinforced by triple-digit data center segment growth, multi-year U.S. contracts with embedded lifecycle services, validated NVIDIA reference designs, and 800 VDC/high-density pod architectures that position SU as a structural chokepoint rather than a sentiment-driven beneficiary.
Material risks
- 1Hyperscalers or large colocation customers internalizing power/cooling design capability (the brief explicitly flags this) could erode Schneider's sole-source positioning and compress the backlog conversion visibility that underpins the bottleneck thesis.
- 2The $3.1B cash Cognite acquisition adds integration execution risk and reduces balance sheet flexibility precisely when FX headwinds of ~€750–850M are already pressuring reported revenues and margins, creating a dual drag on near-term financials.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 2 of 3 voted to proceed.