OPAL Fuels (OPAL) Total Liabilities (2021 - 2026)
OPAL Fuels (OPAL) posted Total Liabilities of $1 billion for Q2 2026, up 8.0% from $927.84 million a year earlier but down 3.8% from the prior quarter.
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Analysis
OPAL Fuels (OPAL) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, OPAL Fuels' Total Liabilities came in at $972.4 million, down 5.5% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, though with a four-year compound annual growth rate of 26.5% (FY2021 to FY2025).
- In prior years, OPAL Fuels' Total Liabilities was $1.03 billion in FY2024 (-16.5%), $1.23 billion in FY2023 (-14.7%), $1.45 billion in FY2022 (+280.7%) and $379.64 million in FY2021.
- Quarterly Total Liabilities has run from a low of $268.08 million in Q3 2021 to a high of $1.7 billion in Q3 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 9.0%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 532.4%; the weakest was Q3 2024, with a decline of 34.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.04 billion (Q1 2026), $972.4 million (Q4 2025) and $906.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.60 Bn | 1.68 Bn | -1.68 Mn | 1.61 Bn |
| 2 | Rex American Resources | 1.41 Bn | 57.46 Mn | 53.30 Mn | 84.86 Mn |
| 3 | Green Plains | 1.04 Bn | 438.04 Mn | 113.03 Mn | 787.13 Mn |
| 4 | Montauk Renewables | 401.08 Mn | 328.86 Mn | - | 206.18 Mn |
| 5 | Clean Energy Fuels | 350.37 Mn | -305.43 Mn | 30.14 Mn | 467.13 Mn |
| 6 | Gevo | 331.30 Mn | 48.28 Mn | 19.80 Mn | 217.55 Mn |
| 7 | OPAL Fuels | 314.56 Mn | 47.17 Mn | 24.47 Mn | 1.00 Bn |
| 8 | Aemetis | 133.29 Mn | 117.04 Mn | 13.52 Mn | 611.29 Mn |
| 9 | Verde Clean Fuels | 50.79 Mn | -147.69 Mn | - | 2.08 Mn |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - | 5.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 972.40 Mn |
| Sep 30, 2025 | 906.48 Mn |
| Jun 30, 2025 | 927.84 Mn |
| Mar 31, 2025 | 827.20 Mn |
| Dec 31, 2024 | 1.03 Bn |
| Sep 30, 2024 | 1.01 Bn |
| Jun 30, 2024 | 1.05 Bn |
| Mar 31, 2024 | 1.13 Bn |
| Dec 31, 2023 | 1.23 Bn |
| Sep 30, 2023 | 1.54 Bn |
| Jun 30, 2023 | 1.43 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 1.45 Bn |
| Sep 30, 2022 | 1.70 Bn |
| Jun 30, 2022 | 294.73 Mn |
| Mar 31, 2022 | 305.80 Mn |
| Dec 31, 2021 | 379.64 Mn |
| Sep 30, 2021 | 268.08 Mn |
API Access
OPAL Fuels Total Liabilities 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=total-liabilities&ticker=OPAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OPAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();