OPAL Fuels (OPAL) EBITDA (2021 - 2026)
OPAL Fuels (OPAL) posted EBITDA of $2.16 million for Q2 2026, down 51.4% from $4.44 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 $24.37 million, down 19.6% year-over-year; for FY2025, it was $29.88 million, down 23.6% from FY2024.
- Annual EBITDA shows a four-year compound annual growth rate of 9.1% (FY2021 to FY2025).
- In prior years, OPAL Fuels' EBITDA was $39.11 million in FY2024 (+85.5%), $21.08 million in FY2023 (+2.5%), $20.58 million in FY2022 (-2.5%) and $21.1 million in FY2021.
- Quarterly EBITDA has run from a low of -$7.11 million in Q1 2023 to a high of $24.8 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 8.7%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2023, with growth of 430.1%; the weakest was Q1 2026, with a decline of 80.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $770,000 (Q1 2026), $12.29 million (Q4 2025) and $9.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.60 Bn | 1.68 Bn | -1.68 Mn | -56.65 Mn |
| 2 | Rex American Resources | 1.41 Bn | 57.46 Mn | 53.30 Mn | 42.10 Mn |
| 3 | Green Plains | 1.04 Bn | 438.04 Mn | 113.03 Mn | 91.32 Mn |
| 4 | Montauk Renewables | 401.08 Mn | 328.86 Mn | - | 7.83 Mn |
| 5 | Clean Energy Fuels | 350.37 Mn | -305.43 Mn | 30.14 Mn | 5.55 Mn |
| 6 | Gevo | 331.30 Mn | 48.28 Mn | 19.80 Mn | -164.92 Mn |
| 7 | OPAL Fuels | 314.56 Mn | 47.17 Mn | 24.47 Mn | 2.16 Mn |
| 8 | Aemetis | 133.29 Mn | 117.04 Mn | 13.52 Mn | 8.33 Mn |
| 9 | Verde Clean Fuels | 50.79 Mn | -147.69 Mn | - | -2.52 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 | 12.29 Mn |
| Sep 30, 2025 | 9.15 Mn |
| Jun 30, 2025 | 4.44 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 4.86 Mn |
| Sep 30, 2024 | 17.01 Mn |
| Jun 30, 2024 | 9.84 Mn |
| Mar 31, 2024 | 7.13 Mn |
| Dec 31, 2023 | 24.80 Mn |
| Sep 30, 2023 | 7.24 Mn |
| Jun 30, 2023 | -3.84 Mn |
| Mar 31, 2023 | -7.11 Mn |
| Dec 31, 2022 | 11.33 Mn |
| Sep 30, 2022 | 1.37 Mn |
| Jun 30, 2022 | 5.56 Mn |
| Mar 31, 2022 | 2.33 Mn |
| Dec 31, 2021 | 12.19 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();