OPAL Fuels (OPAL) Total Non-Current Liabilities (2021 - 2026)
OPAL Fuels (OPAL) posted Total Non-Current Liabilities of $77.23 million for Q2 2026, up 120.7% from $35 million a year earlier but down 0.6% from the prior quarter.
OPAL Fuels (OPAL) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, OPAL Fuels' Total Non-Current Liabilities came in at $81.29 million, up 230.3% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 80.5% (FY2022 to FY2025).
- In prior years, OPAL Fuels' Total Non-Current Liabilities was $24.61 million in FY2024 (+28.2%), $19.19 million in FY2023 (+38.8%) and $13.83 million in FY2022.
- Quarterly Total Non-Current Liabilities has run from a low of $13.83 million in Q4 2022 to a high of $1.66 billion in Q3 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 20.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 559.5%; the weakest was Q1 2025, with a decline of 96.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $77.7 million (Q1 2026), $81.29 million (Q4 2025) and $33.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.60 Bn | 1.68 Bn | -1.68 Mn | 1.47 Bn |
| 2 | Rex American Resources | 1.41 Bn | 57.46 Mn | 53.30 Mn | 18.32 Mn |
| 3 | Green Plains | 1.04 Bn | 438.04 Mn | 113.03 Mn | 754.63 Mn |
| 4 | Montauk Renewables | 401.08 Mn | 328.86 Mn | - | 25,000.00 |
| 5 | Clean Energy Fuels | 350.37 Mn | -305.43 Mn | 30.14 Mn | 105.60 Mn |
| 6 | Gevo | 331.30 Mn | 48.28 Mn | 19.80 Mn | 215.23 Mn |
| 7 | OPAL Fuels | 314.56 Mn | 47.17 Mn | 24.47 Mn | 77.23 Mn |
| 8 | Aemetis | 133.29 Mn | 117.04 Mn | 13.52 Mn | 196.26 Mn |
| 9 | Verde Clean Fuels | 50.79 Mn | -147.69 Mn | - | - |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - | 2.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.23 Mn |
| Mar 31, 2026 | 77.70 Mn |
| Dec 31, 2025 | 81.29 Mn |
| Sep 30, 2025 | 33.99 Mn |
| Jun 30, 2025 | 35.00 Mn |
| Mar 31, 2025 | 36.76 Mn |
| Dec 31, 2024 | 24.61 Mn |
| Sep 30, 2024 | 1.00 Bn |
| Jun 30, 2024 | 1.04 Bn |
| Mar 31, 2024 | 1.12 Bn |
| Dec 31, 2023 | 19.19 Mn |
| Sep 30, 2023 | 1.54 Bn |
| Jun 30, 2023 | 1.43 Bn |
| Mar 31, 2023 | 1.39 Bn |
| Dec 31, 2022 | 13.83 Mn |
| Sep 30, 2022 | 1.66 Bn |
| Jun 30, 2022 | 278.51 Mn |
| Mar 31, 2022 | 285.26 Mn |
| Sep 30, 2021 | 251.09 Mn |
| Jun 30, 2021 | 269.71 Mn |
OPAL Fuels Total Non-Current 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-non-current-liabilities&ticker=OPAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=OPAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();