Clean Energy Technologies (CETY) Change in Accured Expenses (2010 - 2026)
Clean Energy Technologies (CETY) posted Change in Accured Expenses of $78,475 for Q2 2026, down 70.6% from $266,743 a year earlier but up 7.2% from the prior quarter.
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Analysis
Clean Energy Technologies (CETY) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Clean Energy Technologies was $283,788, down 11.9% year-over-year; for FY2025, it came in at $279,781, up 51.9% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 38.1% (FY2020 to FY2025).
- In prior years, Clean Energy Technologies' Change in Accured Expenses was $184,185 in FY2024 (-47.8%), $352,645 in FY2023, -$24,817 in FY2022 and -$379,239 in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$521,208 in Q4 2021 to a high of $583,190 in Q4 2023 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 192.6%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $73,227 (Q1 2026), $333,306 (Q4 2025) and -$201,220 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn | 476.00 Mn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn | - |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn | 45.29 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn | -97.29 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn | - |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn | -12.60 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn | -37.98 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn | 2.48 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn | -2.30 Mn |
| 10 | Clean Energy Technologies | 11.92 Mn | 10.20 Mn | 17,619.00 | 78,475.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78,475.00 |
| Mar 31, 2026 | 73,227.00 |
| Dec 31, 2025 | 333,306.00 |
| Sep 30, 2025 | -201,220.00 |
| Jun 30, 2025 | 266,743.00 |
| Mar 31, 2025 | -119,048.00 |
| Dec 31, 2024 | 39,069.00 |
| Sep 30, 2024 | 135,526.00 |
| Jun 30, 2024 | 94,852.00 |
| Mar 31, 2024 | -85,262.00 |
| Dec 31, 2023 | 583,190.00 |
| Sep 30, 2023 | -127,403.00 |
| Jun 30, 2023 | 379,417.00 |
| Mar 31, 2023 | -482,559.00 |
| Dec 31, 2022 | -196,436.00 |
| Sep 30, 2022 | 145,943.00 |
| Jun 30, 2022 | 32,930.00 |
| Mar 31, 2022 | -7,254.00 |
| Dec 31, 2021 | -521,208.00 |
| Sep 30, 2021 | 506,687.00 |
API Access
Clean Energy Technologies 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=CETY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CETY", "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=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();