OPAL Fuels (OPAL) EBITDA (2021 - 2026)
OPAL Fuels (OPAL) posted EBITDA of $2.16 million for Q2 2026, down 55.1% from $4.8 million a year earlier but up 180.0% from the prior quarter.
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Analysis
OPAL Fuels (OPAL) EBITDA (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at OPAL Fuels was $25.51 million, down 17.9% year-over-year; for FY2025, it was $31.82 million, down 20.8% from FY2024.
- Annual EBITDA shows a four-year compound annual growth rate of 9.4% (FY2021 to FY2025).
- In prior years, OPAL Fuels' EBITDA was $40.2 million in FY2024 (+76.3%), $22.8 million in FY2023 (+1.3%), $22.52 million in FY2022 (+1.5%) and $22.19 million in FY2021.
- Quarterly EBITDA has run from a low of -$6.66 million in Q1 2023 to a high of $25.07 million in Q4 2023 over five years.
- On a year-over-year basis, EBITDA increased in two of the last eight quarters, with an average decline of 8.3%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2023, with growth of 298.2%; the weakest was Q1 2026, with a decline of 82.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $770,000 (Q1 2026), $12.71 million (Q4 2025) and $9.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 1.93 Bn | 1.01 Bn | -1.68 Mn | -55.57 Mn |
| 2 | Rex American Resources | 1.32 Bn | -131.55 Mn | 53.30 Mn | 42.57 Mn |
| 3 | Green Plains | 936.12 Mn | 336.80 Mn | 113.03 Mn | 92.07 Mn |
| 4 | Clean Energy Fuels | 411.73 Mn | -157.52 Mn | 41.24 Mn | 13.98 Mn |
| 5 | Gevo | 335.43 Mn | 44.62 Mn | 19.80 Mn | -164.92 Mn |
| 6 | Montauk Renewables | 243.53 Mn | 171.31 Mn | - | 8.17 Mn |
| 7 | Aemetis | 124.70 Mn | 110.68 Mn | 29.47 Mn | 23.79 Mn |
| 8 | Verde Clean Fuels | 44.10 Mn | -154.37 Mn | - | -2.52 Mn |
| 9 | OPAL Fuels | 42.39 Mn | -236.55 Mn | 24.47 Mn | 2.16 Mn |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - | -702,132.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.16 Mn |
| Mar 31, 2026 | 770,000.00 |
| Dec 31, 2025 | 12.71 Mn |
| Sep 30, 2025 | 9.88 Mn |
| Jun 30, 2025 | 4.80 Mn |
| Mar 31, 2025 | 4.44 Mn |
| Dec 31, 2024 | 4.65 Mn |
| Sep 30, 2024 | 17.20 Mn |
| Jun 30, 2024 | 10.40 Mn |
| Mar 31, 2024 | 7.68 Mn |
| Dec 31, 2023 | 25.07 Mn |
| Sep 30, 2023 | 7.89 Mn |
| Jun 30, 2023 | -3.50 Mn |
| Mar 31, 2023 | -6.66 Mn |
| Dec 31, 2022 | 11.76 Mn |
| Sep 30, 2022 | 1.98 Mn |
| Jun 30, 2022 | 6.02 Mn |
| Mar 31, 2022 | 2.77 Mn |
| Dec 31, 2021 | 12.59 Mn |
| Sep 30, 2021 | 5.77 Mn |
API Access
OPAL Fuels EBITDA 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=ebitda&ticker=OPAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OPAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();