Clean Energy Fuels (CLNE) Enterprise Value (2010 - 2026)
Clean Energy Fuels (CLNE) posted Enterprise Value of $316.93 million for Q2 2026, up 66.3% from $190.57 million a year earlier but down 25.1% from the prior quarter.
Clean Energy Fuels (CLNE) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Clean Energy Fuels was -$204.06 million; for FY2025, it came in at $307.94 million, down 11.4% from FY2024.
- Annual Enterprise Value has declined for five consecutive years, with a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- In prior years, Clean Energy Fuels' Enterprise Value was $347.6 million in FY2024 (-41.7%), $595.92 million in FY2023 (-33.7%), $898.63 million in FY2022 (-21.0%) and $1.14 billion in FY2021 (-19.9%).
- Quarterly Enterprise Value has run from a low of $124.25 million in Q1 2025 to a high of $1.57 billion in Q3 2021 over five years.
- On a year-over-year basis, Enterprise Value increased in two of the last eight quarters, with growth averaging 10.5%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2021, with growth of 282.5%; the weakest was Q1 2025, with a decline of 64.9%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $423.28 million (Q1 2026), $307.94 million (Q4 2025) and $337.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Plug Power | 2.60 Bn | 1.68 Bn | -1.68 Mn |
| 2 | Rex American Resources | 1.41 Bn | 57.46 Mn | 53.30 Mn |
| 3 | Green Plains | 1.04 Bn | 438.04 Mn | 113.03 Mn |
| 4 | Montauk Renewables | 401.08 Mn | 328.86 Mn | - |
| 5 | Clean Energy Fuels | 350.37 Mn | -305.43 Mn | 30.14 Mn |
| 6 | Gevo | 331.30 Mn | 48.28 Mn | 19.80 Mn |
| 7 | OPAL Fuels | 314.56 Mn | 47.17 Mn | 24.47 Mn |
| 8 | Aemetis | 133.29 Mn | 117.04 Mn | 13.52 Mn |
| 9 | Verde Clean Fuels | 50.79 Mn | -147.69 Mn | - |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 316.93 Mn |
| Mar 31, 2026 | 423.28 Mn |
| Dec 31, 2025 | 307.94 Mn |
| Sep 30, 2025 | 337.34 Mn |
| Jun 30, 2025 | 190.57 Mn |
| Mar 31, 2025 | 124.25 Mn |
| Dec 31, 2024 | 347.60 Mn |
| Sep 30, 2024 | 455.68 Mn |
| Jun 30, 2024 | 351.47 Mn |
| Mar 31, 2024 | 354.15 Mn |
| Dec 31, 2023 | 595.92 Mn |
| Sep 30, 2023 | 684.64 Mn |
| Jun 30, 2023 | 919.06 Mn |
| Mar 31, 2023 | 757.30 Mn |
| Dec 31, 2022 | 898.63 Mn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 815.66 Mn |
| Mar 31, 2022 | 1.55 Bn |
| Dec 31, 2021 | 1.14 Bn |
| Sep 30, 2021 | 1.57 Bn |
Clean Energy Fuels Enterprise Value 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=enterprise-value&ticker=CLNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();