Clean Energy Technologies (CETY) Shares Outstanding (2010 - 2026)
Clean Energy Technologies (CETY) posted Shares Outstanding of 12.17 million for Q2 2026, up 226.8% from 3.72 million a year earlier and up 4.8% from the prior quarter.
Clean Energy Technologies (CETY) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Clean Energy Technologies' Shares Outstanding came in at 4.39 million, up 52.3% from FY2024.
- Annual Shares Outstanding has increased for four consecutive years, though with a five-year compound annual growth rate of -38.8% (FY2020 to FY2025).
- In prior years, Clean Energy Technologies' Shares Outstanding was 2.88 million in FY2024 (+12.4%), 2.56 million in FY2023 (+24.4%), 2.06 million in FY2022 (+37.2%) and 1.5 million in FY2021 (-97.1%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding since Q3 2021.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 15 quarters, with growth averaging 83.8% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q1 2026, with growth of 273.7%; the weakest was Q2 2022, with a decline of 97.3%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 11.61 million (Q1 2026), 4.39 million (Q4 2025) and 4.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 268.00 Mn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 287.29 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 107.46 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 91.72 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 58.82 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 150.78 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 36.47 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 131.96 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 244.57 Mn |
| 10 | Clean Energy Technologies | 11.68 Mn | 9.95 Mn | 17,619.00 | 12.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.17 Mn |
| Mar 31, 2026 | 11.61 Mn |
| Dec 31, 2025 | 4.39 Mn |
| Sep 30, 2025 | 4.49 Mn |
| Jun 30, 2025 | 3.72 Mn |
| Mar 31, 2025 | 3.11 Mn |
| Dec 31, 2024 | 2.88 Mn |
| Sep 30, 2024 | 2.97 Mn |
| Jun 30, 2024 | 2.87 Mn |
| Mar 31, 2024 | 2.84 Mn |
| Dec 31, 2023 | 2.56 Mn |
| Sep 30, 2023 | 2.59 Mn |
| Jun 30, 2023 | 2.57 Mn |
| Mar 31, 2023 | 2.48 Mn |
| Dec 31, 2022 | 2.06 Mn |
| Sep 30, 2022 | 1.70 Mn |
| Jun 30, 2022 | 1.61 Mn |
| Mar 31, 2022 | 1.59 Mn |
| Dec 31, 2021 | 1.50 Mn |
| Sep 30, 2021 | 61.48 Mn |
Clean Energy Technologies Shares Outstanding 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=shares-outstanding&ticker=CETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();