Clean Energy Technologies (CETY) EBITDA Margin (2010 - 2026)
Clean Energy Technologies (CETY) recorded EBITDA Margin of -203.10% in Q2 2026, up 99.52 percentage points from -302.63% a year earlier but down 111.79 percentage points from the prior quarter.
Clean Energy Technologies (CETY) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Clean Energy Technologies' EBITDA Margin came in at -109.41% as of Jun 30, 2026, up 81.40 percentage points year-over-year; for FY2025, it was -118.30%, up 18.68 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of -32.76 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at -136.99% in FY2024 (-93.68 pp), -43.31% in FY2023 (-7.28 pp), -36.03% in FY2022 (+82.42 pp) and -118.46% in FY2021 (-32.92 pp).
- Quarterly EBITDA Margin has ranged from -1181.25% in Q3 2022 to 2.93% in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA Margin has increased for five consecutive quarters, with an average year-over-year change of +23.99 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 1160.75 percentage points in Q3 2023, against a drop of 1134.41 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -91.31% (Q1 2026), -11.81% (Q4 2025) and -172.27% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 238.51 Bn | 199.58 Bn | 2.36 Bn | 9.65% |
| 2 | Bloom Energy | 64.56 Bn | 54.49 Bn | 417.10 Mn | 19.62% |
| 3 | First Solar | 18.90 Bn | 9.85 Bn | 605.00 Mn | 56.64% |
| 4 | BWX Technologies | 12.29 Bn | 10.59 Bn | 202.31 Mn | 16.14% |
| 5 | Nextpower | 12.05 Bn | 7.94 Bn | 335.85 Mn | 21.35% |
| 6 | Generac Holdings | 11.43 Bn | 10.26 Bn | 521.81 Mn | 25.58% |
| 7 | EnerSys | 6.32 Bn | 4.52 Bn | 313.36 Mn | 19.49% |
| 8 | Enphase Energy | 3.94 Bn | -375.77 Mn | 127.12 Mn | 9.17% |
| 9 | Mirion Technologies | 3.75 Bn | 3.80 Bn | 131.50 Mn | - |
| 10 | Clean Energy Technologies | 10.83 Mn | 9.10 Mn | 17,619.00 | -203.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -203.10% |
| Mar 31, 2026 | 21.08% |
| Dec 31, 2025 | -37.02% |
| Sep 30, 2025 | -37.28% |
| Jun 30, 2025 | -202.63% |
| Mar 31, 2025 | -65.90% |
| Dec 31, 2024 | -143.50% |
| Sep 30, 2024 | -284.90% |
| Jun 30, 2024 | -481.83% |
| Mar 31, 2024 | -52.69% |
| Dec 31, 2023 | -107.01% |
| Sep 30, 2023 | -12.84% |
| Jun 30, 2023 | -2.88% |
| Mar 31, 2023 | -36.72% |
| Dec 31, 2022 | -204.80% |
| Sep 30, 2022 | -972.08% |
| Jun 30, 2022 | -0.16% |
| Mar 31, 2022 | 5.39% |
| Dec 31, 2021 | -97.84% |
| Sep 30, 2021 | -46.84% |
Clean Energy Technologies EBITDA Margin 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=ebitda-margin&ticker=CETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();