AI data centers increase demand for grid equipment, gas turbines, electrification, and power services.
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Price
$774.11
1D change
+0.47%
Market cap
$204.89B
Sector
Industrials
| Metric | GEV |
|---|---|
| Price | $774.11 |
| 1D Change | +0.47% |
| Market Cap | $204.89B |
| Enterprise Value | $193.43B |
| Trailing P/E | 20.3 |
| Forward P/E | 29.9 |
| PEG Ratio | 1.43x |
| Price / Sales | 4.7 |
| EV / Revenue | 4.4 |
| Revenue Growth | 26.8% |
| Earnings Growth | 193.3% |
| Gross Margin | 21.8% |
| Operating Margin | 12.8% |
| Net Margin | 23.5% |
| ROE | 93.0% |
| Free Cash Flow | $22.10B |
| FCF Margin | 50.2% |
| Debt / Equity | 0.30x |
| Current Ratio | 0.83x |
| Dividend Yield | 0.26% |
| Next Earnings | Jan 27, 2027 |
| Quarterly Revenue | $12.64B |
| Revenue QoQ | +13.9% |
| Quarterly Net Income | $1.29B |
| Net Income QoQ | +93.3% |
GEV thesis lens
Grid and power equipment
Why it could benefit
- AI data centers increase demand for grid equipment, gas turbines, electrification, and power services.
- GE Vernova gives the dashboard exposure to utility-scale power infrastructure rather than only rack equipment.
- Grid bottlenecks can become as important as GPU availability for new data centers.
Moat / edge
- Large installed base in power generation and grid equipment.
- Service revenue tied to critical infrastructure.
- Exposure to electrification and generation upgrades.
What to watch
- Gas power and grid backlog.
- Margin expansion after separation.
- Data-center-related power demand.
Key risks
- Project execution and warranty issues can hurt margins.
- Policy and utility spending cycles can create volatility.