AU · rank #17 · 2026-10-22
V1NC
XETRA · EUR · $1.11B (USD)
The exact numbers the algorithm saw.
| Composite score Z-score blend of all factors below. | 0.091 |
|---|---|
| EPS revisions (30d) Change in consensus EPS estimate over the past 30 days ($/share). | +$0.02 |
| Net revisions (30d) Number of analysts revising upward minus downward. | 2 |
| Insider signal (90d) | — |
| Analyst upside Consensus target $24.67 | +26.4% |
| Momentum acceleration 3-month minus 12-month momentum. | +1.29% |
| Analyst rating 5 = Strong Buy, 1 = Strong Sell. | 4.33 |
| Gross margin TTM | +24.6% |
| 52w high | $23.90 |
| Market cap (USD) | $1.11B |
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
VINCORION SE is a ~900-person German defense specialist supplying generators, power electronics, and weapon-stabilization systems for armored vehicles, air-defense platforms, and aviation, with ~€1.2 billion backlog anchored in Leopard 2 and European air-defense programs.
Rationale
The 26.4% analyst upside, 100% revision agreement across all six covering analysts, and accelerating EPS upgrades over 7/30/60/90-day windows are directly corroborated by a 39.8% Q3 revenue beat and a second guidance raise in 2026, giving the analyst_upside signal fundamental grounding rather than mere sentiment drift.
Material risks
- 1Approximately €590 million of the €1.2 billion backlog is frame or soft orders whose conversion depends on customer program approvals and defense-budget execution, meaning the revenue visibility underpinning the analyst target prices is partially contingent rather than contractually locked.
- 2Customer and platform concentration on a handful of European armored-vehicle and air-defense programs exposes VINCORION to prime-contractor decisions to dual-source or internalize stabilization and power capabilities, which would directly erode the program-incumbency moat the thesis relies on.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 3 of 3 voted to proceed.