GE Vernova (GEV) Receivables - Net (2023 - 2026)
GE Vernova (GEV) reported Receivables - Net of $11.1 billion for Q2 2026, up 59.7% from $6.95 billion a year earlier and up 16.0% from the prior quarter.
GE Vernova (GEV) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, GE Vernova posted Receivables - Net of $9.8 billion, up 19.9% from FY2024.
- By year, Receivables - Net came in at $8.18 billion in FY2024 (+9.2%) and $7.49 billion in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Receivables - Net in data going back to Q4 2023.
- Year over year, Receivables - Net has now increased in each of the last seven quarters, with growth averaging 19.1% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.57 billion (Q1 2026), $9.8 billion (Q4 2025) and $7.37 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn |
| 10 | Nuscale Power | 3.25 Bn | 3.20 Bn | -152,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.10 Bn |
| Mar 31, 2026 | 9.57 Bn |
| Dec 31, 2025 | 9.80 Bn |
| Sep 30, 2025 | 7.37 Bn |
| Jun 30, 2025 | 6.95 Bn |
| Mar 31, 2025 | 7.14 Bn |
| Dec 31, 2024 | 8.18 Bn |
| Sep 30, 2024 | 7.23 Bn |
| Jun 30, 2024 | 6.43 Bn |
| Mar 31, 2024 | 7.10 Bn |
| Dec 31, 2023 | 7.49 Bn |
GE Vernova Receivables - Net 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=receivables-net&ticker=GEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();