OPAL Fuels (OPAL) Selling, General & Administrative (2021 - 2026)
OPAL Fuels (OPAL) posted Selling, General & Administrative of $14.27 million for Q2 2026, down 18.2% from $17.46 million a year earlier and down 6.0% from the prior quarter.
OPAL Fuels (OPAL) Selling, General & Administrative (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at OPAL Fuels was $60.01 million, up 0.5% year-over-year; for FY2025, it was $63.98 million, up 20.4% from FY2024.
- Annual Selling, General & Administrative shows a four-year compound annual growth rate of 21.5% (FY2021 to FY2025).
- In prior years, OPAL Fuels' Selling, General & Administrative was $53.12 million in FY2024 (+3.6%), $51.26 million in FY2023 (-0.2%), $51.39 million in FY2022 (+74.9%) and $29.38 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative since Q4 2024.
- On a year-over-year basis, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 8.8%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2022, with growth of 98.8%; the weakest was Q4 2023, with a decline of 31.1%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $15.18 million (Q1 2026), $16.18 million (Q4 2025) and $14.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.64 Bn | 1.73 Bn | -1.68 Mn | 29.27 Mn |
| 2 | Rex American Resources | 1.45 Bn | 95.61 Mn | 53.30 Mn | 15.62 Mn |
| 3 | Green Plains | 1.05 Bn | 447.15 Mn | 113.03 Mn | 21.71 Mn |
| 4 | Montauk Renewables | 399.65 Mn | 327.43 Mn | - | 7.67 Mn |
| 5 | Clean Energy Fuels | 345.96 Mn | -309.83 Mn | 30.14 Mn | 24.59 Mn |
| 6 | Gevo | 326.35 Mn | 43.33 Mn | 19.80 Mn | 12.88 Mn |
| 7 | OPAL Fuels | 305.82 Mn | 38.43 Mn | 24.47 Mn | 14.27 Mn |
| 8 | Aemetis | 124.64 Mn | 108.40 Mn | 13.52 Mn | 7.74 Mn |
| 9 | Verde Clean Fuels | 48.56 Mn | -149.91 Mn | - | 2.36 Mn |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - | 397,408.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.27 Mn |
| Mar 31, 2026 | 15.18 Mn |
| Dec 31, 2025 | 16.18 Mn |
| Sep 30, 2025 | 14.38 Mn |
| Jun 30, 2025 | 17.46 Mn |
| Mar 31, 2025 | 15.97 Mn |
| Dec 31, 2024 | 13.57 Mn |
| Sep 30, 2024 | 12.69 Mn |
| Jun 30, 2024 | 13.70 Mn |
| Mar 31, 2024 | 13.16 Mn |
| Dec 31, 2023 | 11.60 Mn |
| Sep 30, 2023 | 13.27 Mn |
| Jun 30, 2023 | 12.82 Mn |
| Mar 31, 2023 | 14.07 Mn |
| Dec 31, 2022 | 16.83 Mn |
| Sep 30, 2022 | 15.75 Mn |
| Jun 30, 2022 | 7.96 Mn |
| Mar 31, 2022 | 10.86 Mn |
| Dec 31, 2021 | 10.27 Mn |
| Sep 30, 2021 | 7.92 Mn |
OPAL Fuels 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=OPAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "OPAL", "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=OPAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();