Clean Energy Technologies (CETY) Long-Term Debt Repayments (2018 - 2026)
Clean Energy Technologies' Long-Term Debt Repayments came in at $61,589 for Q2 2026, down 74.7% from $243,549 a year earlier and down 84.4% from the prior quarter.
Clean Energy Technologies (CETY) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Clean Energy Technologies reported Long-Term Debt Repayments of $28,880, down 98.0% year-over-year; for FY2025, it came in at $1.09 million, up 120.8% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $492,851 in FY2024 (-70.6%), $1.68 million in FY2023 (+91.4%), $875,519 in FY2022 (-3.4%) and $906,112 in FY2021 (+67.1%).
- The five-year range for quarterly Long-Term Debt Repayments is -$727,753 (Q4 2025) to $1.27 million (Q1 2025).
- Year-over-year, Long-Term Debt Repayments increased in three of the last five quarters, with growth averaging 105.9%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2023 (growth of 835.6%), and the weakest in Q1 2022 (a decline of 78.8%).
- Business Quant data shows CETY's Long-Term Debt Repayments at $395,451 (Q1 2026), -$727,753 (Q4 2025) and $299,593 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 226.95 Bn | 178.04 Bn | 3.11 Bn | - |
| 2 | Bloom Energy | 59.63 Bn | 49.53 Bn | 417.10 Mn | 5.38 Mn |
| 3 | First Solar | 18.41 Bn | 9.78 Bn | 713.06 Mn | -672.37 Mn |
| 4 | BWX Technologies | 11.94 Bn | 10.24 Bn | 202.31 Mn | - |
| 5 | Nextpower | 11.88 Bn | 11.88 Bn | 345.32 Mn | - |
| 6 | Generac Holdings | 11.49 Bn | 11.49 Bn | 516.04 Mn | 6.15 Mn |
| 7 | EnerSys | 5.81 Bn | 4.00 Bn | 313.36 Mn | - |
| 8 | Mirion Technologies | 4.44 Bn | 2.80 Bn | 131.50 Mn | - |
| 9 | Enphase Energy | 3.35 Bn | -958.58 Mn | 127.12 Mn | - |
| 10 | Clean Energy Technologies | 11.10 Mn | 9.38 Mn | 17,619.00 | 61,589.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61,589.00 |
| Mar 31, 2026 | 395,451.00 |
| Dec 31, 2025 | -727,753.00 |
| Sep 30, 2025 | 299,593.00 |
| Jun 30, 2025 | 243,549.00 |
| Mar 31, 2025 | 1.27 Mn |
| Dec 31, 2024 | -151,406.00 |
| Sep 30, 2024 | 59,224.00 |
| Jun 30, 2024 | 235,125.00 |
| Mar 31, 2024 | 349,908.00 |
| Jun 30, 2023 | 434,414.00 |
| Mar 31, 2023 | 970,724.00 |
| Jun 30, 2022 | 168,862.00 |
| Mar 31, 2022 | 103,754.00 |
| Mar 31, 2021 | 488,987.00 |
| Dec 31, 2020 | 386,168.00 |
| Sep 30, 2020 | 53,000.00 |
| Dec 31, 2019 | 56,685.00 |
| Sep 30, 2019 | 138,000.00 |
| Jun 30, 2019 | 458,000.00 |
Clean Energy Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();