Clean Energy Fuels (CLNE) Cash & Equivalents (2009 - 2026)
Clean Energy Fuels (CLNE) reported Cash & Equivalents of $141.82 million for Q3 2026, down 22.5% from $182.96 million a year earlier but up 139.7% from the prior quarter.
Powered by 
Analysis
Clean Energy Fuels (CLNE) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Clean Energy Fuels posted Cash & Equivalents of $157.76 million, up 72.3% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $91.56 million in FY2024 (-14.4%), $106.96 million in FY2023 (-15.1%), $125.95 million in FY2022 (+18.3%) and $106.46 million in FY2021 (-11.3%).
- Five-year quarterly Cash & Equivalents spans a low of $23.12 million in Q3 2022 and a high of $182.96 million in Q3 2025.
- Year over year, Cash & Equivalents has now declined in each of the last three quarters, with growth averaging 2.5% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2024 (growth of 339.1%); the low point was Q3 2022 (a decline of 83.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $59.15 million (Q2 2026), $57.66 million (Q1 2026) and $157.76 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 | 141.82 Mn |
| Jun 30, 2026 | 59.15 Mn |
| Mar 31, 2026 | 57.66 Mn |
| Dec 31, 2025 | 157.76 Mn |
| Sep 30, 2025 | 182.96 Mn |
| Jun 30, 2025 | 134.20 Mn |
| Mar 31, 2025 | 120.68 Mn |
| Dec 31, 2024 | 91.56 Mn |
| Sep 30, 2024 | 119.00 Mn |
| Jun 30, 2024 | 125.14 Mn |
| Mar 31, 2024 | 91.41 Mn |
| Dec 31, 2023 | 106.96 Mn |
| Sep 30, 2023 | 27.10 Mn |
| Jun 30, 2023 | 55.16 Mn |
| Mar 31, 2023 | 166.81 Mn |
| Dec 31, 2022 | 125.95 Mn |
| Sep 30, 2022 | 23.12 Mn |
| Jun 30, 2022 | 57.50 Mn |
| Mar 31, 2022 | 107.97 Mn |
| Dec 31, 2021 | 106.46 Mn |
API Access
Clean Energy 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=CLNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "CLNE", "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=CLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();