Clean Energy Technologies (CETY) Cost of Revenue (2010 - 2026)
Clean Energy Technologies (CETY) posted Cost of Revenue of $354,317 for Q2 2026, compared with $12,618 a year earlier and down 55.6% from the prior quarter.
Clean Energy Technologies (CETY) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Clean Energy Technologies was $2.68 million, up 685.3% year-over-year; for FY2025, it was $1.57 million, down 0.8% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- In prior years, Clean Energy Technologies' Cost of Revenue was $1.58 million in FY2024 (-74.7%), $6.23 million in FY2023 (+318.6%), $1.49 million in FY2022 (+115.8%) and $690,032 in FY2021 (+5.4%).
- Quarterly Cost of Revenue has run from a low of $12,618 in Q2 2025 to a high of $2.3 million in Q2 2023 over five years.
- On a year-over-year basis, Cost of Revenue increased in 1 of the last five quarters, with an average decline of 16.1%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2025, with growth of 238.8%; the weakest was Q2 2024, with a decline of 99.1%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $797,635 (Q1 2026), $932,929 (Q4 2025) and $590,449 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn | 8.74 Bn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn | 709.79 Mn |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn | 451.19 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn | 651.70 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn | 599.32 Mn |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn | 699.32 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn | 622.28 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn | 116.84 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn | 133.70 Mn |
| 10 | Clean Energy Technologies | 11.92 Mn | 10.20 Mn | 17,619.00 | 354,317.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 354,317.00 |
| Mar 31, 2026 | 797,635.00 |
| Dec 31, 2025 | 932,929.00 |
| Sep 30, 2025 | 590,449.00 |
| Jun 30, 2025 | 12,618.00 |
| Mar 31, 2025 | 30,062.00 |
| Dec 31, 2024 | 275,346.00 |
| Sep 30, 2024 | 22,642.00 |
| Jun 30, 2024 | 20,095.00 |
| Mar 31, 2024 | 1.26 Mn |
| Dec 31, 2023 | 1.95 Mn |
| Sep 30, 2023 | 1.46 Mn |
| Jun 30, 2023 | 2.30 Mn |
| Mar 31, 2023 | 532,382.00 |
| Dec 31, 2022 | 73,323.00 |
| Sep 30, 2022 | 18,716.00 |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 261,074.00 |
| Dec 31, 2021 | 316,012.00 |
| Sep 30, 2021 | 274,401.00 |
Clean Energy Technologies Cost of Revenue 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=cost-of-revenue&ticker=CETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();