Bloom Energy (BE) Cost of Revenue (2017 - 2026)
Bloom Energy's Cost of Revenue came in at $709.79 million for Q2 2026, up 141.3% from $294.12 million a year earlier and up 35.1% from the prior quarter.
Bloom Energy (BE) Cost of Revenue (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bloom Energy reported Cost of Revenue of $2.14 billion, up 88.4% year-over-year; for FY2025, it came in at $1.44 billion, up 34.4% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $1.07 billion in FY2024 (-5.9%), $1.14 billion in FY2023 (+8.1%), $1.05 billion in FY2022 (+35.7%) and $774.6 million in FY2021 (+23.3%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q1 2017.
- Year-over-year, Cost of Revenue has increased for seven consecutive quarters, with growth averaging 48.4% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2026 (growth of 141.3%), and the weakest in Q3 2024 (a decline of 37.9%).
- Business Quant data shows BE's Cost of Revenue at $525.51 million (Q1 2026), $537.79 million (Q4 2025) and $367.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 265.52 Bn | 225.44 Bn | 2.36 Bn | 8.74 Bn |
| 2 | Bloom Energy | 74.08 Bn | 65.87 Bn | 355.57 Mn | 709.79 Mn |
| 3 | First Solar | 19.78 Bn | 10.73 Bn | 605.00 Mn | 451.19 Mn |
| 4 | Nextpower | 13.21 Bn | 9.10 Bn | 335.85 Mn | 599.32 Mn |
| 5 | BWX Technologies | 12.61 Bn | 10.91 Bn | 202.31 Mn | 699.32 Mn |
| 6 | Generac Holdings | 12.54 Bn | 11.37 Bn | 521.81 Mn | 651.70 Mn |
| 7 | EnerSys | 6.42 Bn | 4.61 Bn | 313.36 Mn | 622.28 Mn |
| 8 | Enphase Energy | 4.11 Bn | -749.80 Mn | 175.01 Mn | 116.84 Mn |
| 9 | Mirion Technologies | 3.97 Bn | 1.81 Bn | 133.10 Mn | 133.70 Mn |
| 10 | QuantumScape | 2.58 Bn | -1.16 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 709.79 Mn |
| Mar 31, 2026 | 525.51 Mn |
| Dec 31, 2025 | 537.79 Mn |
| Sep 30, 2025 | 367.37 Mn |
| Jun 30, 2025 | 294.12 Mn |
| Mar 31, 2025 | 237.31 Mn |
| Dec 31, 2024 | 353.08 Mn |
| Sep 30, 2024 | 251.67 Mn |
| Jun 30, 2024 | 267.25 Mn |
| Mar 31, 2024 | 197.22 Mn |
| Dec 31, 2023 | 264.53 Mn |
| Sep 30, 2023 | 405.48 Mn |
| Jun 30, 2023 | 244.75 Mn |
| Mar 31, 2023 | 220.92 Mn |
| Dec 31, 2022 | 391.20 Mn |
| Sep 30, 2022 | 241.33 Mn |
| Jun 30, 2022 | 245.21 Mn |
| Mar 31, 2022 | 173.10 Mn |
| Dec 31, 2021 | 273.77 Mn |
| Sep 30, 2021 | 170.35 Mn |
Bloom Energy Cost of Revenue 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=cost-of-revenue&ticker=BE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();