Clean Energy Technologies (CETY) Interest Expenses (2010 - 2026)
Clean Energy Technologies (CETY) reported Interest Expenses of $662,809 for Q2 2026, up 24.8% from $531,056 a year earlier and up 28.7% from the prior quarter.
Clean Energy Technologies (CETY) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Clean Energy Technologies' Interest Expenses came in at $4.41 million, up 166.3% year-over-year; for FY2025, it was $4.12 million, up 243.4% from FY2024.
- Interest Expenses has a three-year compound annual growth rate of 54.1% (FY2022 to FY2025).
- By year, Interest Expenses came in at $1.2 million in FY2024 (-43.9%), $2.14 million in FY2023 (+89.9%) and $1.13 million in FY2022.
- Five-year quarterly Interest Expenses spans a low of $127,669 in Q2 2024 and a high of $2.12 million in Q3 2025.
- Year over year, Interest Expenses has now increased in each of the last six quarters, with growth averaging 128.1% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q3 2025 (growth of 343.4%); the low point was Q2 2024 (a decline of 75.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $515,128 (Q1 2026), $1.11 million (Q4 2025) and $2.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 662,809.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 662,809.00 |
| Mar 31, 2026 | 515,128.00 |
| Dec 31, 2025 | 1.11 Mn |
| Sep 30, 2025 | 2.12 Mn |
| Jun 30, 2025 | 531,056.00 |
| Mar 31, 2025 | 348,186.00 |
| Dec 31, 2024 | 297,040.00 |
| Sep 30, 2024 | 479,140.00 |
| Jun 30, 2024 | 127,669.00 |
| Mar 31, 2024 | 295,193.00 |
| Dec 31, 2023 | 429,959.00 |
| Sep 30, 2023 | 358,095.00 |
| Jun 30, 2023 | 512,203.00 |
| Mar 31, 2023 | 837,391.00 |
| 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 |
Clean Energy Technologies 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=interest-expenses&ticker=CETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();