GE Vernova (GEV) Price to Earnings (2024 - 2026)
GE Vernova's (GEV) Price to Earnings was 24.25 for Q3 2026, down 75.2% from 97.91 a year earlier and down 26.2% from the prior quarter.
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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.
- The Q3 2026 figure ranks as the lowest quarterly Price to Earnings in data going back to Q2 2024.
- Year over year, Price to Earnings has now declined in each of the last four quarters, with growth averaging 10.4% over the last six quarters.
- Per Business Quant data, the three quarters before Q3 2026 came in at 32.84 (Q2 2026), 25.02 (Q1 2026) and 36.07 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn |
| 10 | Enphase Energy | 3.45 Bn | -863.96 Mn | 127.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.25 |
| 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();