AI data centers increase demand for grid equipment, gas turbines, electrification, and power services.
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Price
$940.66
1D change
+3.74%
Market cap
$252.77B
Sector
Industrials
| Metric | GEV |
|---|---|
| Price | $940.66 |
| 1D Change | +3.74% |
| Market Cap | $252.77B |
| Enterprise Value | $247.90B |
| Trailing P/E | 27.5 |
| Forward P/E | 38.4 |
| Price / Sales | 6.4 |
| EV / Revenue | 6.3 |
| Revenue Growth | 16.3% |
| Earnings Growth | 1816.5% |
| Gross Margin | 20.3% |
| Operating Margin | 5.5% |
| Net Margin | 23.8% |
| ROE | 75.7% |
| Free Cash Flow | $9.32B |
| FCF Margin | 23.7% |
| Debt / Equity | 0.25x |
| Current Ratio | 0.89x |
| Dividend Yield | 21.00% |
| Next Earnings | Jul 22, 2026 |
| Quarterly Revenue | $9.34B |
| Revenue QoQ | -14.8% |
| Quarterly Net Income | $4.75B |
| Net Income QoQ | +29.5% |
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.