GE Vernova (GEV) EPS (Basic) (2023 - 2026)
GE Vernova (GEV) posted EPS (Basic) of $2.49 for Q2 2026, up 31.9% from $1.89 a year earlier but down 85.9% from the prior quarter.
GE Vernova (GEV) EPS (Basic) (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at GE Vernova was $35.56, up 736.6% year-over-year; for FY2025, it was $17.96, up 218.2% from FY2024.
- In prior years, GE Vernova's EPS (Basic) was $5.64 in FY2024, -$1.60 in FY2023 and -$9.99 in FY2022.
- Quarterly EPS (Basic) has run from a low of -$1.15 in Q1 2023 to a high of $17.64 in Q1 2026 over five years.
- On a year-over-year basis, EPS (Basic) increased in three of the last four quarters, with growth averaging 195.5%.
- According to Business Quant data, EPS (Basic) for the three prior quarters was $17.64 (Q1 2026), $13.47 (Q4 2025) and $1.66 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 256.40 Bn | 217.48 Bn | 2.36 Bn | 2.49 |
| 2 | Bloom Energy | 85.45 Bn | 77.27 Bn | 355.57 Mn | 0.68 |
| 3 | First Solar | 19.01 Bn | 9.97 Bn | 605.00 Mn | 3.93 |
| 4 | BWX Technologies | 12.64 Bn | 10.94 Bn | 202.31 Mn | 0.97 |
| 5 | Generac Holdings | 12.53 Bn | 11.36 Bn | 521.81 Mn | 2.44 |
| 6 | Nextpower | 12.03 Bn | 7.92 Bn | 335.85 Mn | 1.10 |
| 7 | EnerSys | 6.62 Bn | 4.81 Bn | 313.36 Mn | 3.19 |
| 8 | Enphase Energy | 4.21 Bn | -653.40 Mn | 175.01 Mn | 0.27 |
| 9 | Mirion Technologies | 3.51 Bn | 1.39 Bn | 133.10 Mn | 0.03 |
| 10 | Nuscale Power | 3.18 Bn | 3.14 Bn | -152,000.00 | -0.13 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.49 |
| Mar 31, 2026 | 17.64 |
| Dec 31, 2025 | 13.47 |
| Sep 30, 2025 | 1.66 |
| Jun 30, 2025 | 1.89 |
| Mar 31, 2025 | 0.92 |
| Dec 31, 2024 | 1.76 |
| Sep 30, 2024 | -0.35 |
| Jun 30, 2024 | 4.72 |
| Mar 31, 2024 | -0.47 |
| Dec 31, 2023 | 0.72 |
| Sep 30, 2023 | -0.62 |
| Jun 30, 2023 | -0.55 |
| Mar 31, 2023 | -1.15 |
GE Vernova EPS (Basic) 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=eps-basic&ticker=GEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();