Clean Energy Technologies (CETY) Non Operating Interest Expenses (2010 - 2025)
Clean Energy Technologies' Non Operating Interest Expenses was $207,639 in Q4 2025, down 64.7% from the prior quarter.
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Analysis
Clean Energy Technologies (CETY) Non Operating Interest Expenses (2010 - 2025) Analysis & Trends
For FY2025, Non Operating Interest Expenses at Clean Energy Technologies came in at $817,271.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | -73.00 Mn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 8.91 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 5.56 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 5.28 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 16.79 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | - |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 10.60 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 327,000.00 |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 8.40 Mn |
| 10 | Clean Energy Technologies | 11.68 Mn | 9.95 Mn | 17,619.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 207,639.00 |
| Sep 30, 2025 | 587,757.00 |
| Jun 30, 2025 | 13,509.00 |
| Sep 30, 2019 | 396,704.00 |
| Jun 30, 2019 | 404,905.00 |
| Mar 31, 2019 | 240,352.00 |
| Dec 31, 2018 | -1.58 Mn |
| Sep 30, 2018 | 253,482.00 |
| Jun 30, 2018 | 292,043.00 |
| Mar 31, 2018 | 168,468.00 |
| Dec 31, 2017 | -238,012.00 |
| Sep 30, 2017 | -32,409.00 |
| Jun 30, 2017 | 190,103.00 |
| Mar 31, 2017 | 298,972.00 |
| Dec 31, 2016 | 88,476.00 |
| Sep 30, 2016 | 100,707.00 |
| Jun 30, 2016 | 83,555.00 |
| Mar 31, 2016 | 150,216.00 |
| Dec 31, 2015 | 587,365.00 |
| Sep 30, 2015 | 69,379.00 |
API Access
Clean Energy Technologies Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=CETY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();