GE Vernova (GEV) Exchange Rate Effect (2023 - 2026)
GE Vernova (GEV) posted Exchange Rate Effect of -$30 million for Q2 2026, compared with $145 million a year earlier.
GE Vernova (GEV) Exchange Rate Effect (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at GE Vernova was -$57 million; for FY2025, it came in at $224 million.
- In prior years, GE Vernova's Exchange Rate Effect was -$147 million in FY2024, $22 million in FY2023 and -$87 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Exchange Rate Effect since Q4 2024.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$16 million (Q1 2026), -$26 million (Q4 2025) and $15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn | -30.00 Mn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn | -2.88 Mn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn | 5.86 Mn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn | -165,000.00 |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn | -331,000.00 |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn | - |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn | -2.05 Mn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn | -620,000.00 |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn | -1.80 Mn |
| 10 | Nuscale Power | 3.25 Bn | 3.20 Bn | -152,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -30.00 Mn |
| Mar 31, 2026 | -16.00 Mn |
| Dec 31, 2025 | -26.00 Mn |
| Sep 30, 2025 | 15.00 Mn |
| Jun 30, 2025 | 145.00 Mn |
| Mar 31, 2025 | 90.00 Mn |
| Dec 31, 2024 | -99.00 Mn |
| Sep 30, 2024 | 18.00 Mn |
| Jun 30, 2024 | -34.00 Mn |
| Mar 31, 2024 | -32.00 Mn |
| Dec 31, 2023 | 44.00 Mn |
| Sep 30, 2023 | -31.00 Mn |
| Jun 30, 2023 | -4.00 Mn |
| Mar 31, 2023 | 13.00 Mn |
GE Vernova Exchange Rate Effect 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=exchange-rate-effect&ticker=GEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();