GE Vernova (GEV) Exchange Rate Effect (2023 - 2026)
GE Vernova (GEV) posted Exchange Rate Effect of $37 million for Q3 2026, up 146.7% from $15 million a year earlier.
GE Vernova (GEV) Exchange Rate Effect (2023 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Exchange Rate Effect at GE Vernova was -$35 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 Q3 2026 figure stands as the highest quarterly Exchange Rate Effect since Q2 2025.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$30 million (Q2 2026), -$16 million (Q1 2026) and -$26 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 220.58 Bn | 171.68 Bn | 3.11 Bn | 37.00 Mn |
| 2 | Bloom Energy | 56.91 Bn | 46.81 Bn | 417.10 Mn | -1.37 Mn |
| 3 | First Solar | 20.56 Bn | 11.92 Bn | 713.06 Mn | -142,000.00 |
| 4 | Nextpower | 15.90 Bn | 11.61 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 11.75 Bn | 9.57 Bn | 227.14 Mn | 2.29 Mn |
| 6 | Generac Holdings | 11.11 Bn | 9.84 Bn | 516.04 Mn | -608,000.00 |
| 7 | EnerSys | 5.54 Bn | 3.73 Bn | 313.36 Mn | -2.05 Mn |
| 8 | Mirion Technologies | 4.72 Bn | 3.08 Bn | 131.50 Mn | -200,000.00 |
| 9 | Enphase Energy | 3.84 Bn | -474.64 Mn | 127.12 Mn | -1.70 Mn |
| 10 | QuantumScape | 2.84 Bn | -715.25 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.00 Mn |
| 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();