BN · rank #6 · 2026-10-21
ENR
XETRA · EUR · $124.48B (USD)
The exact numbers the algorithm saw.
| Composite score Z-score blend of the factors below; drives the rank. | 0.11 |
|---|---|
| Forward revenue growth Consensus forward revenue growth. | +14.6% |
| Forward net margin Consensus forward net margin. | +7.8% |
| Net margin TTM Trailing twelve month net margin. | +6.4% |
| Margin expansion Forward minus trailing net margin (percentage points). | +1.3% |
| Forward PEG Forward P/E to growth. Below 1 is cheap for the growth. | 0.40 |
| Debt / FCF Net debt relative to free cash flow. Lower is safer. | 0.39× |
| Analyst upside Spread between the consensus 12m target and the current price. | +48.6% |
| Last EPS surprise Most recent reported EPS versus consensus. | +10% |
| Market cap (USD) | $124.48B |
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
Siemens Energy AG is a global supplier of high-voltage grid equipment, gas turbines, HVDC systems and wind turbines, currently generating record backlogs driven by European and global grid-upgrade demand.
Rationale
The bottleneck-solver thesis is directly reinforced by a €162 billion backlog (€51 billion in Grid Technologies alone), 28% order growth in transformers and switchgear, ~95% FY2026 revenue coverage, and a 1.57 book-to-bill that confirms structural supply scarcity rather than sentiment-driven rotation.
Material risks
- 1Competitor capacity expansions by Hitachi Energy, GE Vernova and ABB in transformers and HVDC could erode the scarcity-driven pricing power that underpins the bottleneck thesis before Siemens Energy's own 50%-capacity expansion through FY2030 is fully contracted.
- 2Siemens Gamesa's recent return to profitability is fragile; renewed turbine-quality or warranty losses could drain the group's €8 billion free-cash-flow guide and divert capital from grid-segment growth.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 3 of 3 voted to proceed.