Bloom Energy (BE) Depreciation and Depletion (2017 - 2026)
Bloom Energy's Depreciation and Depletion was $13.75 million in Q2 2026, up 9.1% from $12.6 million a year earlier and up 3.5% from the prior quarter.
Bloom Energy (BE) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bloom Energy's Depreciation and Depletion was $53.01 million through Jun 30, 2026, up 2.5% year-over-year; for FY2025, it came in at $50.57 million, down 4.7% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $53.05 million in FY2024 (-15.3%), $62.61 million in FY2023 (+1.6%), $61.61 million in FY2022 (+15.3%) and $53.45 million in FY2021 (+2.2%).
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion since Q4 2024.
- Compared with a year earlier, Depreciation and Depletion was higher in three of the last eight quarters, with growth averaging 0.6%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q1 2023 (growth of 26.2%); the worst was Q1 2024 (a decline of 31.0%).
- Per Business Quant data, BE's Depreciation and Depletion in the three quarters before Q2 2026 was $13.28 million (Q1 2026), $13.18 million (Q4 2025) and $12.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 182.00 Mn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 13.75 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 143.50 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | - |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 27.60 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | - |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 22.22 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | - |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 6.00 Mn |
| 10 | Nuscale Power | 3.24 Bn | 3.19 Bn | -152,000.00 | 289,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.75 Mn |
| Mar 31, 2026 | 13.28 Mn |
| Dec 31, 2025 | 13.18 Mn |
| Sep 30, 2025 | 12.80 Mn |
| Jun 30, 2025 | 12.60 Mn |
| Mar 31, 2025 | 11.99 Mn |
| Dec 31, 2024 | 13.88 Mn |
| Sep 30, 2024 | 13.24 Mn |
| Jun 30, 2024 | 13.41 Mn |
| Mar 31, 2024 | 12.52 Mn |
| Dec 31, 2023 | 12.33 Mn |
| Sep 30, 2023 | 14.62 Mn |
| Jun 30, 2023 | 17.52 Mn |
| Mar 31, 2023 | 18.15 Mn |
| Dec 31, 2022 | 15.43 Mn |
| Sep 30, 2022 | 15.50 Mn |
| Jun 30, 2022 | 16.30 Mn |
| Mar 31, 2022 | 14.38 Mn |
| Dec 31, 2021 | 13.38 Mn |
| Sep 30, 2021 | 13.27 Mn |
Bloom Energy Depreciation and Depletion 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=depreciation-and-depletion&ticker=BE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=BE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();