Clean Energy Fuels (CLNE) Change in Accured Expenses (2010 - 2026)
Clean Energy Fuels (CLNE) posted Change in Accured Expenses of $2.56 million for Q2 2026, down 50.6% from $5.18 million a year earlier.
Clean Energy Fuels (CLNE) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Clean Energy Fuels was $2.58 million, down 72.8% year-over-year; for FY2025, it came in at $10.22 million, up 27.0% from FY2024.
- In prior years, Clean Energy Fuels' Change in Accured Expenses was $8.05 million in FY2024, -$18,000 in FY2023, $16.27 million in FY2022 (-2.1%) and $16.61 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$21.15 million in Q2 2023 to a high of $14.54 million in Q3 2022 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 5.2%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2021, with growth of 412.8%; the weakest was Q4 2024, with a decline of 72.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$9.52 million (Q1 2026), $7.5 million (Q4 2025) and $2.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.65 Bn | 1.74 Bn | -1.68 Mn | -6.05 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 | 8.71 Mn |
| 4 | Montauk Renewables | 411.11 Mn | 338.89 Mn | - | 5.02 Mn |
| 5 | Clean Energy Fuels | 343.76 Mn | -312.04 Mn | 30.14 Mn | 2.56 Mn |
| 6 | Gevo | 323.88 Mn | 40.86 Mn | 19.80 Mn | 2.26 Mn |
| 7 | OPAL Fuels | 304.08 Mn | 36.68 Mn | 24.47 Mn | -4.87 Mn |
| 8 | Aemetis | 123.92 Mn | 107.68 Mn | 13.52 Mn | 9.48 Mn |
| 9 | Verde Clean Fuels | 48.56 Mn | -149.91 Mn | - | 355,000.00 |
| 10 | Blue Biofuels | 32.35 Mn | 32.16 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.56 Mn |
| Mar 31, 2026 | -9.52 Mn |
| Dec 31, 2025 | 7.50 Mn |
| Sep 30, 2025 | 2.04 Mn |
| Jun 30, 2025 | 5.18 Mn |
| Mar 31, 2025 | -4.50 Mn |
| Dec 31, 2024 | 2.14 Mn |
| Sep 30, 2024 | 6.64 Mn |
| Jun 30, 2024 | 7.37 Mn |
| Mar 31, 2024 | -8.10 Mn |
| Dec 31, 2023 | 7.84 Mn |
| Sep 30, 2023 | 6.48 Mn |
| Jun 30, 2023 | -21.15 Mn |
| Mar 31, 2023 | 6.81 Mn |
| Dec 31, 2022 | 3.06 Mn |
| Sep 30, 2022 | 14.54 Mn |
| Jun 30, 2022 | 6.61 Mn |
| Mar 31, 2022 | -7.93 Mn |
| Dec 31, 2021 | 9.05 Mn |
| Sep 30, 2021 | 10.27 Mn |
Clean Energy Fuels Change in Accured 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=change-in-accured-expenses&ticker=CLNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();