OPAL Fuels (OPAL) Cash & Equivalents (2021 - 2026)
OPAL Fuels (OPAL) reported Cash & Equivalents of $86 million for Q3 2026, up 150.9% from $34.28 million a year earlier but down 5.9% from the prior quarter.
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Analysis
OPAL Fuels (OPAL) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, OPAL Fuels posted Cash & Equivalents of $24.41 million, down 16.5% from FY2024.
- Cash & Equivalents has declined for three consecutive years, with a four-year compound annual growth rate of -12.7% (FY2021 to FY2025).
- By year, Cash & Equivalents came in at $29.23 million in FY2024 (-38.1%), $47.24 million in FY2023 (-38.8%), $77.22 million in FY2022 (+83.6%) and $42.05 million in FY2021.
- Five-year quarterly Cash & Equivalents spans a low of $219,127 in Q2 2022 and a high of $133.24 million in Q1 2026.
- Year over year, Cash & Equivalents has now increased in each of the last three quarters, with growth averaging 74.2% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2026 (growth of 196.8%); the low point was Q2 2022 (a decline of 81.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $91.36 million (Q2 2026), $133.24 million (Q1 2026) and $24.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 1.55 Bn | 670.46 Mn | -5.36 Mn | 134.13 Mn |
| 2 | Rex American Resources | 1.27 Bn | -87.85 Mn | 53.30 Mn | 91.33 Mn |
| 3 | Green Plains | 940.41 Mn | 317.05 Mn | 142.81 Mn | 159.99 Mn |
| 4 | Gevo | 452.70 Mn | 177.08 Mn | 47.81 Mn | 67.55 Mn |
| 5 | Clean Energy Fuels | 405.62 Mn | -158.48 Mn | 41.24 Mn | 141.82 Mn |
| 6 | OPAL Fuels | 215.20 Mn | -105.54 Mn | 27.77 Mn | 86.00 Mn |
| 7 | Montauk Renewables | 136.08 Mn | 63.86 Mn | - | 15.76 Mn |
| 8 | Verde Clean Fuels | 43.66 Mn | -149.00 Mn | - | 52.55 Mn |
| 9 | Blue Biofuels | 38.93 Mn | 38.83 Mn | - | 6,473.00 |
| 10 | XCF Global | 27.62 Mn | 25.21 Mn | 276,200.00 | 329,084.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.00 Mn |
| Jun 30, 2026 | 91.36 Mn |
| Mar 31, 2026 | 133.24 Mn |
| Dec 31, 2025 | 24.41 Mn |
| Sep 30, 2025 | 34.28 Mn |
| Jun 30, 2025 | 33.51 Mn |
| Mar 31, 2025 | 44.90 Mn |
| Dec 31, 2024 | 29.23 Mn |
| Sep 30, 2024 | 24.19 Mn |
| Jun 30, 2024 | 22.45 Mn |
| Mar 31, 2024 | 32.70 Mn |
| Dec 31, 2023 | 47.24 Mn |
| Sep 30, 2023 | 21.59 Mn |
| Jun 30, 2023 | 27.13 Mn |
| Mar 31, 2023 | 33.26 Mn |
| Dec 31, 2022 | 77.22 Mn |
| Sep 30, 2022 | 25.29 Mn |
| Jun 30, 2022 | 219,127.00 |
| Mar 31, 2022 | 559,253.00 |
| Dec 31, 2021 | 42.05 Mn |
API Access
OPAL Fuels Cash & Equivalents 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=cash-and-equivalents&ticker=OPAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OPAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();