GE Vernova (GEV) EPS (Diluted) (2023 - 2026)
GE Vernova's EPS (Diluted) was $4.82 in Q3 2026, up 193.1% from $1.64 a year earlier and up 94.7% from the prior quarter.
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Analysis
GE Vernova (GEV) EPS (Diluted) (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, GE Vernova's EPS (Diluted) was $38.69 through Sep 30, 2026, up 524.3% year-over-year; for FY2025, it was $17.70, up 217.0% from FY2024.
- In earlier years, EPS (Diluted) was $5.58 in FY2024, -$1.60 in FY2023 and -$9.99 in FY2022.
- Quarterly EPS (Diluted) has moved between -$1.15 (Q1 2023) and $17.44 (Q1 2026) over five years.
- Compared with a year earlier, EPS (Diluted) was higher in four of the last five quarters, with growth averaging 194.1%.
- Per Business Quant data, GEV's EPS (Diluted) in the three quarters before Q3 2026 was $2.47 (Q2 2026), $17.44 (Q1 2026) and $13.28 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 209.61 Bn | 160.70 Bn | 3.11 Bn | 4.82 |
| 2 | Bloom Energy | 56.09 Bn | 45.99 Bn | 417.10 Mn | 0.77 |
| 3 | First Solar | 19.82 Bn | 11.19 Bn | 713.06 Mn | 5.30 |
| 4 | Nextpower | 15.58 Bn | 11.28 Bn | 345.32 Mn | 1.08 |
| 5 | BWX Technologies | 11.75 Bn | 9.57 Bn | 227.14 Mn | 1.11 |
| 6 | Generac Holdings | 10.81 Bn | 9.54 Bn | 516.04 Mn | 1.83 |
| 7 | Innio | 10.80 Bn | 10.80 Bn | 367.70 Mn | 0.15 |
| 8 | EnerSys | 5.49 Bn | 3.69 Bn | 313.36 Mn | 3.09 |
| 9 | Mirion Technologies | 4.67 Bn | 3.03 Bn | 131.50 Mn | 0.03 |
| 10 | Enphase Energy | 3.73 Bn | -585.71 Mn | 127.12 Mn | 0.17 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.82 |
| Jun 30, 2026 | 2.47 |
| Mar 31, 2026 | 17.44 |
| Dec 31, 2025 | 13.28 |
| Sep 30, 2025 | 1.64 |
| Jun 30, 2025 | 1.86 |
| Mar 31, 2025 | 0.91 |
| Dec 31, 2024 | 1.74 |
| Sep 30, 2024 | -0.35 |
| Jun 30, 2024 | 4.65 |
| 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 |
API Access
GE Vernova EPS (Diluted) 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-diluted&ticker=GEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();