GE Vernova (GEV) Capital Expenditures (2023 - 2026)
GE Vernova's (GEV) quarterly Capital Expenditures came in at $386.0 million in Q2 2026, up 123.12% on a YoY basis from $173.0 million in Q2 2025, and down 2.77% quarter-over-quarter from $397.0 million in Q1 2026.
GE Vernova (GEV) Capital Expenditures (2023 - 2026) Analysis & Trends
GE Vernova (GEV) has reported Capital Expenditures for 4 consecutive years, with $386.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Capital Expenditures rose 123.12% year-over-year to $386.0 million; the trailing twelve-month figure through Jun 2026 stood at $1.7 billion (up 95.97% YoY), and the FY2025 full-year result was $1.3 billion, up 44.62% from the prior year.
- Capital Expenditures slipped to $386.0 million in Q2 2026 per GEV's latest filing, from $397.0 million in the prior quarter.
- Across five years, Capital Expenditures topped out at $671.0 million in Q4 2025 and bottomed at $124.0 million in Q1 2023.
- Historically, Capital Expenditures has averaged $263.4 million across 4 years, with a median of $201.5 million in 2024.
- The sharpest annual moves came in 2025 and 2026: Capital Expenditures decreased 14.29% in 2025, then jumped 123.12% in 2026.
- Over 4 years, Capital Expenditures stood at $280.0 million in 2023, then increased by 25.0% to $350.0 million in 2024, then soared by 91.71% to $671.0 million in 2025, then plunged by 42.47% to $386.0 million in 2026.
- According to Business Quant data, Capital Expenditures over the past three periods registered $386.0 million, $397.0 million, and $671.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capital Expenditures (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 250.36 Bn | 238.39 Bn | 2.36 Bn | 386.00 Mn |
| 2 | Generac Holdings | 12.25 Bn | 11.99 Bn | 521.81 Mn | 58.29 Mn |
| 3 | American Superconductor | 1.44 Bn | 1.30 Bn | - | - |
| 4 | Babcock & Wilcox Enterprises | 1.10 Bn | 748.28 Mn | 46.64 Mn | 6.62 Mn |
| 5 | Hyliion Holdings | 751.89 Mn | 751.89 Mn | 366,000.00 | 212,000.00 |
| 6 | HyOrc | 59.08 Mn | 59.02 Mn | 24,000.00 | - |
| 7 | Clean Energy Technologies | 12.17 Mn | 11.92 Mn | 17,619.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 386.00 Mn |
| Mar 31, 2026 | 397.00 Mn |
| Dec 31, 2025 | 671.00 Mn |
| Sep 30, 2025 | 247.00 Mn |
| Jun 30, 2025 | 173.00 Mn |
| Mar 31, 2025 | 186.00 Mn |
| Dec 31, 2024 | 350.00 Mn |
| Sep 30, 2024 | 159.00 Mn |
| Jun 30, 2024 | 157.00 Mn |
| Mar 31, 2024 | 217.00 Mn |
| Dec 31, 2023 | 280.00 Mn |
| Sep 30, 2023 | 181.00 Mn |
| Jun 30, 2023 | 159.00 Mn |
| Mar 31, 2023 | 124.00 Mn |
GE Vernova Capital Expenditures 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=capital-expenditures&ticker=GEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();