Clean Energy Fuels (CLNE) Asset Writedowns and Impairment (2011 - 2025)
Clean Energy Fuels (CLNE) reported Asset Writedowns and Impairment of $64.33 million for FY2025, up 694.0% from $8.1 million in FY2024.
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Analysis
Clean Energy Fuels (CLNE) Asset Writedowns and Impairment (2011 - 2025) Analysis & Trends
Dating back to FY2010, Clean Energy Fuels' Asset Writedowns and Impairment record includes 7 years.
- The FY2025 figure ranks as the highest annual Asset Writedowns and Impairment in data going back to FY2010.
- According to Business Quant data, Asset Writedowns and Impairment came in at $8.1 million in FY2024 and $634,000 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Plug Power | 2.65 Bn | 1.74 Bn | -1.68 Mn |
| 2 | Rex American Resources | 1.44 Bn | 80.02 Mn | 53.30 Mn |
| 3 | Green Plains | 1.07 Bn | 468.18 Mn | 113.03 Mn |
| 4 | Montauk Renewables | 411.11 Mn | 338.89 Mn | - |
| 5 | Clean Energy Fuels | 343.76 Mn | -312.04 Mn | 30.14 Mn |
| 6 | Gevo | 323.88 Mn | 40.86 Mn | 19.80 Mn |
| 7 | OPAL Fuels | 304.08 Mn | 36.68 Mn | 24.47 Mn |
| 8 | Aemetis | 123.92 Mn | 107.68 Mn | 13.52 Mn |
| 9 | Verde Clean Fuels | 48.56 Mn | -149.91 Mn | - |
| 10 | Blue Biofuels | 32.35 Mn | 32.16 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 64.30 Mn |
| Dec 31, 2024 | 8.10 Mn |
| Dec 31, 2023 | 79,000.00 |
| Sep 30, 2023 | 222,000.00 |
| Mar 31, 2023 | 333,000.00 |
| Dec 31, 2017 | -58,000.00 |
| Mar 31, 2011 | 45,000.00 |
API Access
Clean Energy Fuels Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=CLNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=CLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();