Clean Energy Technologies (CETY) Return on Sales [ROS] (2010 - 2026)
Clean Energy Technologies' Return on Sales [ROS] came in at -203.30% for Q2 2026, up 100.74 percentage points from -304.04% a year earlier but down 111.52 percentage points from the prior quarter.
Clean Energy Technologies (CETY) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Clean Energy Technologies reported Return on Sales [ROS] of -109.40%, up 82.10 percentage points year-over-year; for FY2025, it was -118.40%, up 18.96 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -30.52 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -137.36% in FY2024 (-93.65 pp), -43.71% in FY2023 (-6.55 pp), -37.16% in FY2022 (+83.78 pp) and -120.94% in FY2021 (-33.06 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1212.18% (Q3 2022) to 1.96% (Q1 2022).
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +24.49 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 1191.46 percentage points), and the weakest in Q3 2022 (a drop of 1163.94 percentage points).
- Business Quant data shows CETY's Return on Sales [ROS] at -91.78% (Q1 2026), -10.84% (Q4 2025) and -172.55% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 206.05 Bn | 157.15 Bn | 3.11 Bn | 11.03% |
| 2 | Bloom Energy | 51.10 Bn | 41.00 Bn | 417.10 Mn | 18.24% |
| 3 | First Solar | 21.63 Bn | 12.99 Bn | 713.06 Mn | 44.37% |
| 4 | Nextpower | 15.87 Bn | 11.57 Bn | 345.32 Mn | 18.71% |
| 5 | BWX Technologies | 10.96 Bn | 8.77 Bn | 227.14 Mn | 13.86% |
| 6 | Generac Holdings | 10.36 Bn | 9.10 Bn | 516.04 Mn | 12.40% |
| 7 | EnerSys | 5.36 Bn | 3.55 Bn | 313.36 Mn | 16.18% |
| 8 | Mirion Technologies | 4.35 Bn | 2.71 Bn | 131.50 Mn | 6.19% |
| 9 | Enphase Energy | 3.78 Bn | -535.47 Mn | 127.12 Mn | 2.20% |
| 10 | Clean Energy Technologies | 10.79 Mn | 9.06 Mn | 17,619.00 | -203.30% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -203.30% |
| Mar 31, 2026 | -91.78% |
| Dec 31, 2025 | -10.84% |
| Sep 30, 2025 | -172.55% |
| Jun 30, 2025 | -304.04% |
| Mar 31, 2025 | -93.40% |
| Dec 31, 2024 | -162.09% |
| Sep 30, 2024 | -322.88% |
| Jun 30, 2024 | -496.58% |
| Mar 31, 2024 | -54.26% |
| Dec 31, 2023 | -102.84% |
| Sep 30, 2023 | -20.73% |
| Jun 30, 2023 | -13.84% |
| Mar 31, 2023 | -122.97% |
| Dec 31, 2022 | -436.04% |
| Sep 30, 2022 | -1,212.18% |
| Jun 30, 2022 | -2.49% |
| Mar 31, 2022 | 1.96% |
| Dec 31, 2021 | -99.70% |
| Sep 30, 2021 | -48.24% |
Clean Energy Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CETY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();