BN · rank #13 · 2026-07-21
VRT
NYSE · $112.03B (USD)
The exact numbers the algorithm saw.
| Composite score Z-score blend of the factors below; drives the rank. | 0.30 |
|---|---|
| Forward revenue growth Consensus forward revenue growth. | +28.5% |
| Forward net margin Consensus forward net margin. | +15.3% |
| Net margin TTM Trailing twelve month net margin. | +14.4% |
| Margin expansion Forward minus trailing net margin (percentage points). | +0.9% |
| Forward PEG Forward P/E to growth. Below 1 is cheap for the growth. | 1.45 |
| Debt / FCF Net debt relative to free cash flow. Lower is safer. | 1.41× |
| Analyst upside Spread between the consensus 12m target and the current price. | +30.0% |
| Last EPS surprise Most recent reported EPS versus consensus. | +16% |
| Market cap (USD) | $112.03B |
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
Vertiv is a global critical digital infrastructure provider delivering integrated power, cooling, hardware, software, analytics, and lifecycle services to data centers and mission-critical facilities worldwide.
Rationale
VRT is a textbook bottleneck-solver — power and thermal management are the binding constraint on AI datacenter scaling, and Vertiv's turnkey systems plus long-term service relationships create durable revenue visibility (FY2026 guidance of $13.5–$14.5B) that distinguishes this from a pure sentiment trade.
Material risks
- 1Hyperscale customers (Microsoft, Google, Amazon) could vertically integrate power and cooling design in-house, directly eroding Vertiv's systems-integration role and compressing the moat the bottleneck thesis depends on.
- 2The entire thesis is leveraged to sustained AI/datacenter capex; any policy-driven, financing-related, or macro-induced pause in hyperscaler buildout would compress both revenue growth and the 30% analyst upside embedded in the signal.
AI verdict council
Each pick is reviewed independently by 3 models before any order. 3 of 3 voted to proceed.