AI data centers increase demand for grid equipment, gas turbines, electrification, and power services.
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Price
$990.32
1D change
-1.00%
Market cap
$263.76B
Sector
Industrials
| Metric | GEV |
|---|---|
| Price | $990.32 |
| 1D Change | -1.00% |
| Market Cap | $263.76B |
| Enterprise Value | $255.91B |
| Trailing P/E | 28.4 |
| Forward P/E | 39.9 |
| PEG Ratio | 1.70x |
| Price / Sales | 6.4 |
| EV / Revenue | 6.2 |
| Revenue Growth | 21.9% |
| Earnings Growth | 32.8% |
| Gross Margin | 20.6% |
| Operating Margin | 7.5% |
| Net Margin | 23.0% |
| ROE | 82.6% |
| Free Cash Flow | $15.72B |
| FCF Margin | 38.0% |
| Debt / Equity | 0.28x |
| Current Ratio | 0.85x |
| Dividend Yield | 0.20% |
| Next Earnings | Oct 28, 2026 |
| Quarterly Revenue | $11.10B |
| Revenue QoQ | +18.9% |
| Quarterly Net Income | $668.0M |
| Net Income QoQ | -85.9% |
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.