GE Vernova (GEV) Receivables (2023 - 2026)
GE Vernova's Receivables was $20.62 billion in Q2 2026, up 25.5% from $16.44 billion a year earlier and up 7.5% from the prior quarter.
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Analysis
GE Vernova (GEV) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables at GE Vernova came in at $19.1 billion, up 13.7% from FY2024.
- In earlier years, Receivables was $16.8 billion in FY2024 (+6.1%) and $15.83 billion in FY2023.
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2023.
- Compared with a year earlier, Receivables has increased for seven straight quarters, with growth averaging 11.7% over the last seven quarters.
- Per Business Quant data, GEV's Receivables in the three quarters before Q2 2026 was $19.18 billion (Q1 2026), $19.1 billion (Q4 2025) and $16.86 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 243.75 Bn | 203.66 Bn | 2.36 Bn | 20.62 Bn |
| 2 | Bloom Energy | 65.12 Bn | 56.91 Bn | 355.57 Mn | 823.59 Mn |
| 3 | First Solar | 18.97 Bn | 9.92 Bn | 605.00 Mn | 1.76 Bn |
| 4 | BWX Technologies | 12.58 Bn | 10.88 Bn | 202.31 Mn | 820.54 Mn |
| 5 | Nextpower | 12.08 Bn | 7.98 Bn | 335.85 Mn | 1.05 Bn |
| 6 | Generac Holdings | 11.62 Bn | 10.45 Bn | 521.81 Mn | 669.20 Mn |
| 7 | EnerSys | 6.28 Bn | 4.48 Bn | 313.36 Mn | 543.79 Mn |
| 8 | Enphase Energy | 4.19 Bn | -673.26 Mn | 175.01 Mn | 308.42 Mn |
| 9 | Mirion Technologies | 3.73 Bn | 1.57 Bn | 133.10 Mn | 267.40 Mn |
| 10 | QuantumScape | 2.48 Bn | -1.26 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.62 Bn |
| Mar 31, 2026 | 19.18 Bn |
| Dec 31, 2025 | 19.10 Bn |
| Sep 30, 2025 | 16.86 Bn |
| Jun 30, 2025 | 16.44 Bn |
| Mar 31, 2025 | 16.18 Bn |
| Dec 31, 2024 | 16.80 Bn |
| Sep 30, 2024 | 15.82 Bn |
| Jun 30, 2024 | 15.13 Bn |
| Mar 31, 2024 | 15.68 Bn |
| Dec 31, 2023 | 15.83 Bn |
API Access
GE Vernova Receivables 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&ticker=GEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();