Clean Energy Technologies (CETY) Net Long-Term Debt Issued (Repaid) (2017 - 2026)
Clean Energy Technologies (CETY) recorded Non-Current Debt of -$943,972 in Q4 2025.
Analysis
Clean Energy Technologies (CETY) Net Long-Term Debt Issued (Repaid) (2017 - 2026) Analysis & Trends
For FY2025, Clean Energy Technologies reported Non-Current Debt of -$252,580.
- Across earlier years, Non-Current Debt came in at -$112,000 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 238.51 Bn | 199.58 Bn | 2.36 Bn | - |
| 2 | Bloom Energy | 64.56 Bn | 54.49 Bn | 417.10 Mn | -5.38 Mn |
| 3 | First Solar | 18.90 Bn | 9.85 Bn | 605.00 Mn | -600.71 Mn |
| 4 | BWX Technologies | 12.29 Bn | 10.59 Bn | 202.31 Mn | - |
| 5 | Nextpower | 12.05 Bn | 7.94 Bn | 335.85 Mn | - |
| 6 | Generac Holdings | 11.43 Bn | 10.26 Bn | 521.81 Mn | -4.61 Mn |
| 7 | EnerSys | 6.32 Bn | 4.52 Bn | 313.36 Mn | - |
| 8 | Enphase Energy | 3.94 Bn | -375.77 Mn | 127.12 Mn | - |
| 9 | Mirion Technologies | 3.75 Bn | 3.80 Bn | 131.50 Mn | - |
| 10 | Clean Energy Technologies | 10.83 Mn | 9.10 Mn | 17,619.00 | 647,196.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 647,196.00 |
| Mar 31, 2026 | 941,018.00 |
| Dec 31, 2025 | -943,972.00 |
| Sep 30, 2025 | 393,272.00 |
| Jun 30, 2025 | 899,486.00 |
| Mar 31, 2025 | 759,002.00 |
| Dec 31, 2024 | 619,140.00 |
| Sep 30, 2024 | 775,780.00 |
| Jun 30, 2024 | -200,859.00 |
| Mar 31, 2024 | 206,342.00 |
| Dec 31, 2023 | 1.09 Mn |
| Sep 30, 2023 | 461,639.00 |
| Jun 30, 2023 | -512,435.00 |
| Mar 31, 2023 | -43,804.00 |
| Dec 31, 2022 | 503,160.00 |
| Sep 30, 2022 | 914,550.00 |
| Jun 30, 2022 | 443,888.00 |
| Mar 31, 2022 | 46,246.00 |
| Dec 31, 2021 | 560,800.00 |
| Sep 30, 2021 | 323,429.00 |
API Access
Clean Energy Technologies Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=CETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=CETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();