Clean Energy Technologies (CETY) Selling, General & Administrative (2010 - 2026)
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Analysis
Clean Energy Technologies (CETY) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 206.05 Bn | 157.15 Bn | 3.11 Bn | 1.35 Bn |
| 2 | Bloom Energy | 51.10 Bn | 41.00 Bn | 417.10 Mn | 75.10 Mn |
| 3 | First Solar | 21.63 Bn | 12.99 Bn | 713.06 Mn | 65.33 Mn |
| 4 | Nextpower | 15.87 Bn | 11.57 Bn | 345.32 Mn | 92.20 Mn |
| 5 | BWX Technologies | 10.96 Bn | 8.77 Bn | 227.14 Mn | 117.22 Mn |
| 6 | Generac Holdings | 10.36 Bn | 9.10 Bn | 516.04 Mn | 88.13 Mn |
| 7 | EnerSys | 5.36 Bn | 3.55 Bn | 313.36 Mn | - |
| 8 | Mirion Technologies | 4.35 Bn | 2.71 Bn | 131.50 Mn | 104.00 Mn |
| 9 | Enphase Energy | 3.78 Bn | -535.47 Mn | 127.12 Mn | 30.40 Mn |
| 10 | Clean Energy Technologies | 10.79 Mn | 9.06 Mn | 17,619.00 | 96,516.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96,516.00 |
| Mar 31, 2026 | 147,729.00 |
| Dec 31, 2025 | 42,178.00 |
| Sep 30, 2025 | 212,896.00 |
| Jun 30, 2025 | 118,470.00 |
| Mar 31, 2025 | 222,557.00 |
| Dec 31, 2024 | 359,270.00 |
| Sep 30, 2024 | 170,073.00 |
| Jun 30, 2024 | 270,614.00 |
| Mar 31, 2024 | 218,658.00 |
| Dec 31, 2023 | 267,071.00 |
| Sep 30, 2023 | 144,871.00 |
| Jun 30, 2023 | 210,509.00 |
| Mar 31, 2023 | 83,267.00 |
| Dec 31, 2022 | 116,297.00 |
| Sep 30, 2022 | 79,252.00 |
| Jun 30, 2022 | 108,368.00 |
| Mar 31, 2022 | 92,935.00 |
| Dec 31, 2021 | -41,158.00 |
| Sep 30, 2021 | 188,817.00 |
API Access
Clean Energy Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=CETY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();