Bloom Energy (BE) Receivables (2017 - 2026)
Bloom Energy's Receivables was $823.59 million in Q2 2026, up 38.0% from $596.84 million a year earlier and up 36.8% from the prior quarter.
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Analysis
Bloom Energy (BE) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Bloom Energy came in at $550.72 million, up 14.5% from FY2024.
- Receivables has now increased for six consecutive years, with a five-year compound annual growth rate of 40.2% (FY2020 to FY2025).
- In earlier years, Receivables was $481 million in FY2024 (+25.9%), $382.11 million in FY2023 (+28.3%), $297.72 million in FY2022 (+163.5%) and $112.99 million in FY2021 (+11.2%).
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2017.
- Compared with a year earlier, Receivables has increased for three straight quarters, with growth averaging 21.2% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q3 2023 (growth of 393.4%); the worst was Q3 2021 (a decline of 12.4%).
- Per Business Quant data, BE's Receivables in the three quarters before Q2 2026 was $602 million (Q1 2026), $550.72 million (Q4 2025) and $670.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 20.62 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 823.59 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 1.76 Bn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 820.54 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 669.20 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 1.05 Bn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 543.79 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 308.42 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 267.40 Mn |
| 10 | Nuscale Power | 3.24 Bn | 3.19 Bn | -152,000.00 | 13.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 823.59 Mn |
| Mar 31, 2026 | 602.00 Mn |
| Dec 31, 2025 | 550.72 Mn |
| Sep 30, 2025 | 670.54 Mn |
| Jun 30, 2025 | 596.84 Mn |
| Mar 31, 2025 | 477.60 Mn |
| Dec 31, 2024 | 481.00 Mn |
| Sep 30, 2024 | 711.87 Mn |
| Jun 30, 2024 | 614.39 Mn |
| Mar 31, 2024 | 382.21 Mn |
| Dec 31, 2023 | 382.11 Mn |
| Sep 30, 2023 | 478.37 Mn |
| Jun 30, 2023 | 386.20 Mn |
| Mar 31, 2023 | 377.54 Mn |
| Dec 31, 2022 | 297.72 Mn |
| Sep 30, 2022 | 96.95 Mn |
| Jun 30, 2022 | 111.35 Mn |
| Mar 31, 2022 | 124.38 Mn |
| Dec 31, 2021 | 112.99 Mn |
| Sep 30, 2021 | 89.81 Mn |
API Access
Bloom Energy 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=BE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "BE", "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=BE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();