Clean Energy Fuels (CLNE) Operating Expenses (2010 - 2026)
Clean Energy Fuels (CLNE) posted Operating Expenses of $111.49 million for Q2 2026, down 0.3% from $111.85 million a year earlier and down 7.4% from the prior quarter.
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Analysis
Clean Energy Fuels (CLNE) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Clean Energy Fuels was $474.73 million, down 17.8% year-over-year; for FY2025, it was $584.7 million, up 29.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- In prior years, Clean Energy Fuels' Operating Expenses was $452.22 million in FY2024 (-9.8%), $501.56 million in FY2023 (+6.3%), $471.87 million in FY2022 (+34.6%) and $350.69 million in FY2021 (+16.3%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q2 2024.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 9.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2025, with growth of 103.6%; the weakest was Q1 2026, with a decline of 47.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $120.45 million (Q1 2026), $123.02 million (Q4 2025) and $119.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.60 Bn | 1.68 Bn | -1.68 Mn | 62.43 Mn |
| 2 | Rex American Resources | 1.41 Bn | 57.46 Mn | 53.30 Mn | 15.62 Mn |
| 3 | Green Plains | 1.04 Bn | 438.04 Mn | 113.03 Mn | 378.35 Mn |
| 4 | Montauk Renewables | 401.08 Mn | 328.86 Mn | - | 54.10 Mn |
| 5 | Clean Energy Fuels | 350.37 Mn | -305.43 Mn | 30.14 Mn | 111.49 Mn |
| 6 | Gevo | 331.30 Mn | 48.28 Mn | 19.80 Mn | 191.51 Mn |
| 7 | OPAL Fuels | 314.56 Mn | 47.17 Mn | 24.47 Mn | 86.41 Mn |
| 8 | Aemetis | 133.29 Mn | 117.04 Mn | 13.52 Mn | 7.74 Mn |
| 9 | Verde Clean Fuels | 50.79 Mn | -147.69 Mn | - | 2.52 Mn |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - | 731,106.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.49 Mn |
| Mar 31, 2026 | 120.45 Mn |
| Dec 31, 2025 | 123.02 Mn |
| Sep 30, 2025 | 119.77 Mn |
| Jun 30, 2025 | 111.85 Mn |
| Mar 31, 2025 | 230.06 Mn |
| Dec 31, 2024 | 122.25 Mn |
| Sep 30, 2024 | 113.40 Mn |
| Jun 30, 2024 | 103.55 Mn |
| Mar 31, 2024 | 113.02 Mn |
| Dec 31, 2023 | 113.43 Mn |
| Sep 30, 2023 | 116.94 Mn |
| Jun 30, 2023 | 103.60 Mn |
| Mar 31, 2023 | 167.60 Mn |
| Dec 31, 2022 | 124.91 Mn |
| Sep 30, 2022 | 134.32 Mn |
| Jun 30, 2022 | 109.10 Mn |
| Mar 31, 2022 | 103.55 Mn |
| Dec 31, 2021 | 98.02 Mn |
| Sep 30, 2021 | 89.20 Mn |
API Access
Clean Energy Fuels Operating Expenses 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=operating-expenses&ticker=CLNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();