Bloom Energy (BE) Selling, General & Administrative (2017 - 2026)
Bloom Energy (BE) recorded Selling, General & Administrative of $71.42 million in Q2 2026, up 56.0% from $45.79 million a year earlier and up 23.0% from the prior quarter.
Bloom Energy (BE) Selling, General & Administrative (2017 - 2026) Analysis & Trends
On a TTM basis, Bloom Energy's Selling, General & Administrative came in at $237.17 million as of Jun 30, 2026, up 30.7% year-over-year; for FY2025, it came in at $198.38 million, up 20.2% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $165.11 million in FY2024 (+2.6%), $160.88 million in FY2023 (-4.1%), $167.74 million in FY2022 (+37.3%) and $122.19 million in FY2021 (+14.1%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2017.
- On a year-over-year basis, Selling, General & Administrative has increased for seven consecutive quarters, with growth averaging 29.8% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 78.5% in Q4 2024, against a decline of 37.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $58.07 million (Q1 2026), $54.58 million (Q4 2025) and $53.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 266.37 Bn | 226.28 Bn | 2.36 Bn | 1.37 Bn |
| 2 | Bloom Energy | 73.98 Bn | 65.77 Bn | 355.57 Mn | 71.42 Mn |
| 3 | First Solar | 19.68 Bn | 10.64 Bn | 605.00 Mn | 51.95 Mn |
| 4 | Nextpower | 13.09 Bn | 8.98 Bn | 335.85 Mn | 100.44 Mn |
| 5 | BWX Technologies | 12.56 Bn | 10.86 Bn | 202.31 Mn | 108.43 Mn |
| 6 | Generac Holdings | 12.50 Bn | 11.33 Bn | 521.81 Mn | 73.16 Mn |
| 7 | EnerSys | 6.41 Bn | 4.60 Bn | 313.36 Mn | - |
| 8 | Enphase Energy | 4.08 Bn | -777.50 Mn | 175.01 Mn | 31.33 Mn |
| 9 | Mirion Technologies | 3.96 Bn | 1.79 Bn | 133.10 Mn | 105.10 Mn |
| 10 | QuantumScape | 2.57 Bn | -1.17 Bn | - | 23.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.42 Mn |
| Mar 31, 2026 | 58.07 Mn |
| Dec 31, 2025 | 54.58 Mn |
| Sep 30, 2025 | 53.11 Mn |
| Jun 30, 2025 | 45.79 Mn |
| Mar 31, 2025 | 44.90 Mn |
| Dec 31, 2024 | 53.31 Mn |
| Sep 30, 2024 | 37.40 Mn |
| Jun 30, 2024 | 36.39 Mn |
| Mar 31, 2024 | 38.01 Mn |
| Dec 31, 2023 | 29.87 Mn |
| Sep 30, 2023 | 43.37 Mn |
| Jun 30, 2023 | 42.49 Mn |
| Mar 31, 2023 | 45.15 Mn |
| Dec 31, 2022 | 47.78 Mn |
| Sep 30, 2022 | 44.12 Mn |
| Jun 30, 2022 | 38.11 Mn |
| Mar 31, 2022 | 37.74 Mn |
| Dec 31, 2021 | 31.72 Mn |
| Sep 30, 2021 | 33.01 Mn |
Bloom Energy Selling, General & Administrative 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=selling-general-and-administrative&ticker=BE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();