GE Vernova (GEV) Price to Earnings (2024 - 2026)
GE Vernova's (GEV) Price to Earnings was 32.84 for Q2 2026, down 73.6% from 124.61 a year earlier but up 31.2% from the prior quarter.
Powered by 
Analysis
GE Vernova (GEV) Price to Earnings (2024 - 2026) Analysis & Trends
For FY2025, Price to Earnings at GE Vernova was 36.07, down 38.3% from FY2024.
- By year, Price to Earnings came in at 58.47 in FY2024.
- Five-year quarterly Price to Earnings spans a low of 25.02 in Q1 2026 and a high of 124.61 in Q2 2025.
- Year over year, Price to Earnings has now declined in each of the last three quarters, with growth averaging 27.5% over the last five quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 25.02 (Q1 2026), 36.07 (Q4 2025) and 97.91 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn |
| 10 | Nuscale Power | 3.18 Bn | 3.13 Bn | -152,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.84 |
| Mar 31, 2026 | 25.02 |
| Dec 31, 2025 | 36.07 |
| Sep 30, 2025 | 97.91 |
| Jun 30, 2025 | 124.61 |
| Mar 31, 2025 | 43.04 |
| Dec 31, 2024 | 58.47 |
| Sep 30, 2024 | 55.56 |
| Jun 30, 2024 | 39.56 |
API Access
GE Vernova Price to Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-earnings&ticker=GEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GEV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();