Ormat Technologies (ORA) Long-Term Debt Repayments (2009 - 2026)
Ormat Technologies (ORA) reported Long-Term Debt Repayments of $310.86 million for Q1 2026, up 438.7% from $57.71 million a year earlier and up 399.8% from the prior quarter.
Ormat Technologies (ORA) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2025, Ormat Technologies posted Long-Term Debt Repayments of $265.46 million, up 26.8% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -27.1% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $209.28 million in FY2024 (+1.1%), $207.04 million in FY2023, $2.98 million in FY2022 (-6.2%) and $3.18 million in FY2021 (-99.8%).
- The Q1 2026 figure ranks as the highest quarterly Long-Term Debt Repayments since Q2 2020.
- Year over year, Long-Term Debt Repayments has now increased in each of the last six quarters, with growth averaging 74.3% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2026 (growth of 438.7%); the low point was Q2 2021 (a decline of 96.4%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $62.2 million (Q4 2025), $66.47 million (Q3 2025) and $79.08 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Constellation Energy | 89.97 Bn | 81.22 Bn | - | 98.00 Mn |
| 2 | Vistra | 47.08 Bn | 40.28 Bn | - | 3.74 Bn |
| 3 | AXIA Energia | 32.91 Bn | 19.89 Bn | 2.59 Bn | -1.23 Bn |
| 4 | Nrg Energy | 19.42 Bn | 13.64 Bn | 2.01 Bn | 7.31 Bn |
| 5 | Talen Energy | 15.71 Bn | 13.29 Bn | - | 1.21 Bn |
| 6 | Enlight Renewable Energy | 9.04 Bn | 5.87 Bn | 117.49 Mn | 3.54 Mn |
| 7 | Brookfield Renewable Partners | 7.90 Bn | 8.14 Bn | 927.00 Mn | 4.39 Bn |
| 8 | Clearway Energy | 6.73 Bn | 9.29 Bn | - | 349.00 Mn |
| 9 | Ormat Technologies | 5.35 Bn | 4.09 Bn | 68.70 Mn | 88.00 Mn |
| 10 | ReNew Energy Global | 5.01 Bn | 3.43 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.00 Mn |
| Mar 31, 2026 | 382.02 Mn |
| Dec 31, 2025 | 62.75 Mn |
| Sep 30, 2025 | 66.99 Mn |
| Jun 30, 2025 | 79.47 Mn |
| Mar 31, 2025 | 58.09 Mn |
| Dec 31, 2024 | 45.02 Mn |
| Sep 30, 2024 | 56.31 Mn |
| Jun 30, 2024 | 71.15 Mn |
| Mar 31, 2024 | 38.18 Mn |
| Dec 31, 2023 | 31.55 Mn |
| Sep 30, 2023 | 61.31 Mn |
| Jun 30, 2023 | 72.75 Mn |
| Mar 31, 2023 | 43.38 Mn |
| Dec 31, 2022 | 50.14 Mn |
| Sep 30, 2022 | 39.45 Mn |
| Jun 30, 2022 | 58.67 Mn |
| Mar 31, 2022 | 39.89 Mn |
| Dec 31, 2021 | 29.93 Mn |
| Sep 30, 2021 | 28.26 Mn |
Ormat 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=ORA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ORA", "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=ORA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();