Bloom Energy (BE) Cash & Equivalents (2017 - 2026)
Bloom Energy (BE) reported Cash & Equivalents of $2.49 billion for Q3 2026, up 317.9% from $595.06 million a year earlier but down 6.8% from the prior quarter.
Bloom Energy (BE) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Bloom Energy posted Cash & Equivalents of $2.45 billion, up 205.7% from FY2024.
- Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 58.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $802.85 million in FY2024 (+20.8%), $664.59 million in FY2023 (+90.7%), $348.5 million in FY2022 (-12.0%) and $396.04 million in FY2021 (+60.4%).
- Five-year quarterly Cash & Equivalents spans a low of $235.64 million in Q2 2022 and a high of $2.67 billion in Q2 2026.
- Year over year, Cash & Equivalents has now increased in each of the last five quarters, with growth averaging 149.3% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 364.0%); the low point was Q2 2024 (a decline of 24.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $2.67 billion (Q2 2026), $2.49 billion (Q1 2026) and $2.45 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 216.95 Bn | 178.02 Bn | 2.36 Bn | 13.12 Bn |
| 2 | Bloom Energy | 57.07 Bn | 47.00 Bn | 417.10 Mn | 2.49 Bn |
| 3 | First Solar | 18.48 Bn | 9.43 Bn | 605.00 Mn | 1.69 Bn |
| 4 | Nextpower | 11.96 Bn | 7.86 Bn | 335.85 Mn | 1.21 Bn |
| 5 | BWX Technologies | 11.65 Bn | 9.95 Bn | 202.31 Mn | 608.20 Mn |
| 6 | Generac Holdings | 11.03 Bn | 9.86 Bn | 521.81 Mn | 264.92 Mn |
| 7 | EnerSys | 6.03 Bn | 4.22 Bn | 313.36 Mn | 530.66 Mn |
| 8 | Enphase Energy | 4.18 Bn | -683.79 Mn | 175.01 Mn | 529.34 Mn |
| 9 | Mirion Technologies | 3.62 Bn | 1.51 Bn | 133.10 Mn | 418.70 Mn |
| 10 | QuantumScape | 2.50 Bn | -1.05 Bn | - | 75.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.49 Bn |
| Jun 30, 2026 | 2.67 Bn |
| Mar 31, 2026 | 2.49 Bn |
| Dec 31, 2025 | 2.45 Bn |
| Sep 30, 2025 | 595.06 Mn |
| Jun 30, 2025 | 574.76 Mn |
| Mar 31, 2025 | 794.75 Mn |
| Dec 31, 2024 | 802.85 Mn |
| Sep 30, 2024 | 495.68 Mn |
| Jun 30, 2024 | 581.68 Mn |
| Mar 31, 2024 | 515.96 Mn |
| Dec 31, 2023 | 664.59 Mn |
| Sep 30, 2023 | 557.38 Mn |
| Jun 30, 2023 | 767.06 Mn |
| Mar 31, 2023 | 320.43 Mn |
| Dec 31, 2022 | 348.50 Mn |
| Sep 30, 2022 | 492.12 Mn |
| Jun 30, 2022 | 235.64 Mn |
| Mar 31, 2022 | 286.01 Mn |
| Dec 31, 2021 | 396.04 Mn |
Bloom Energy Cash & Equivalents 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=cash-and-equivalents&ticker=BE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();