Bloom Energy (BE) Change in Inventory (2017 - 2026)
Bloom Energy's Change in Inventory came in at $170.4 million for Q3 2026, up 366.1% from $36.56 million a year earlier and up 543.7% from the prior quarter.
Bloom Energy (BE) Change in Inventory (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Bloom Energy reported Change in Inventory of $225.51 million, up 60.6% year-over-year; for FY2025, it came in at $119.21 million, up 167.7% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $44.53 million in FY2024 (-80.8%), $231.69 million in FY2023 (+85.5%), $124.88 million in FY2022 and $885,000 in FY2021 (-97.3%).
- The Q3 2026 figure represents the highest quarterly Change in Inventory in data going back to Q3 2017.
- Year-over-year, Change in Inventory increased in three of the last five quarters, with growth averaging 91.0%.
- The fastest year-over-year change in Change in Inventory over five years came in Q3 2024 (growth of 615.1%), and the weakest in Q3 2023 (a decline of 81.3%).
- Business Quant data shows BE's Change in Inventory at $26.47 million (Q2 2026), $88.58 million (Q1 2026) and -$59.95 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 209.61 Bn | 160.70 Bn | 3.11 Bn | 308.00 Mn |
| 2 | Bloom Energy | 56.09 Bn | 45.99 Bn | 417.10 Mn | 170.40 Mn |
| 3 | First Solar | 19.82 Bn | 11.19 Bn | 713.06 Mn | 43.04 Mn |
| 4 | Nextpower | 15.58 Bn | 11.28 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 11.75 Bn | 9.57 Bn | 227.14 Mn | - |
| 6 | Generac Holdings | 10.81 Bn | 9.54 Bn | 516.04 Mn | 55.12 Mn |
| 7 | Innio | 10.80 Bn | 10.80 Bn | 367.70 Mn | 104.90 Mn |
| 8 | EnerSys | 5.49 Bn | 3.69 Bn | 313.36 Mn | 14.48 Mn |
| 9 | Mirion Technologies | 4.67 Bn | 3.03 Bn | 131.50 Mn | 1.30 Mn |
| 10 | Enphase Energy | 3.73 Bn | -585.71 Mn | 127.12 Mn | -41.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 170.40 Mn |
| Jun 30, 2026 | 26.47 Mn |
| Mar 31, 2026 | 88.58 Mn |
| Dec 31, 2025 | -59.95 Mn |
| Sep 30, 2025 | 36.56 Mn |
| Jun 30, 2025 | 77.03 Mn |
| Mar 31, 2025 | 65.58 Mn |
| Dec 31, 2024 | -38.72 Mn |
| Sep 30, 2024 | 64.14 Mn |
| Jun 30, 2024 | -5.86 Mn |
| Mar 31, 2024 | 24.97 Mn |
| Dec 31, 2023 | 25.37 Mn |
| Sep 30, 2023 | 8.97 Mn |
| Jun 30, 2023 | 69.68 Mn |
| Mar 31, 2023 | 127.67 Mn |
| Dec 31, 2022 | 14.08 Mn |
| Sep 30, 2022 | 47.97 Mn |
| Jun 30, 2022 | 23.28 Mn |
| Mar 31, 2022 | 39.54 Mn |
| Dec 31, 2021 | -39.07 Mn |
Bloom Energy Change in Inventory 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=change-in-inventory&ticker=BE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=BE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();