Ormat Technologies (ORA) Interest Expenses (2009 - 2026)
Ormat Technologies' Interest Expenses was $43.94 million in Q2 2026, up 19.8% from $36.68 million a year earlier but down 2.3% from the prior quarter.
Ormat Technologies (ORA) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ormat Technologies' Interest Expenses was $159.63 million through Jun 30, 2026, up 13.6% year-over-year; for FY2025, it came in at $141.85 million, up 5.8% from FY2024.
- Interest Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $134.03 million in FY2024 (+35.5%), $98.88 million in FY2023 (+12.7%), $87.74 million in FY2022 (+6.2%) and $82.66 million in FY2021 (+6.0%).
- Quarterly Interest Expenses has moved between $20.42 million (Q2 2022) and $44.99 million (Q1 2026) over five years.
- Compared with a year earlier, Interest Expenses has increased for 20 straight quarters, with growth averaging 18.4% over the last eight quarters.
- The year-over-year growth in Interest Expenses has ranged between 0.8% (Q3 2022) and 39.0% (Q3 2024) over the last five years.
- Per Business Quant data, ORA's Interest Expenses in the three quarters before Q2 2026 was $44.99 million (Q1 2026), $35.02 million (Q4 2025) and $35.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Constellation Energy | 106.51 Bn | 97.41 Bn | - | 283.00 Mn |
| 2 | Vistra | 54.68 Bn | 47.87 Bn | - | 312.00 Mn |
| 3 | AXIA Energia | 33.19 Bn | 20.17 Bn | 2.59 Bn | -903.61 Mn |
| 4 | Nrg Energy | 22.64 Bn | 16.86 Bn | 2.01 Bn | 310.00 Mn |
| 5 | Talen Energy | 17.58 Bn | 15.14 Bn | - | 214.00 Mn |
| 6 | Enlight Renewable Energy | 8.71 Bn | 5.26 Bn | 117.49 Mn | 60.37 Mn |
| 7 | Brookfield Renewable Partners | 8.01 Bn | -17.15 Bn | 927.00 Mn | 37.00 Mn |
| 8 | Oklo | 5.62 Bn | -1.21 Bn | - | - |
| 9 | Ormat Technologies | 5.60 Bn | 4.20 Bn | 68.70 Mn | 43.94 Mn |
| 10 | Transalta | 3.93 Bn | 2.83 Bn | 313.03 Mn | -60.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.94 Mn |
| Mar 31, 2026 | 44.99 Mn |
| Dec 31, 2025 | 35.02 Mn |
| Sep 30, 2025 | 35.68 Mn |
| Jun 30, 2025 | 36.68 Mn |
| Mar 31, 2025 | 34.47 Mn |
| Dec 31, 2024 | 34.53 Mn |
| Sep 30, 2024 | 34.82 Mn |
| Jun 30, 2024 | 33.72 Mn |
| Mar 31, 2024 | 30.97 Mn |
| Dec 31, 2023 | 25.80 Mn |
| Sep 30, 2023 | 25.05 Mn |
| Jun 30, 2023 | 24.39 Mn |
| Mar 31, 2023 | 23.63 Mn |
| Dec 31, 2022 | 23.84 Mn |
| Sep 30, 2022 | 22.40 Mn |
| Jun 30, 2022 | 20.42 Mn |
| Mar 31, 2022 | 21.08 Mn |
| Dec 31, 2021 | 22.79 Mn |
| Sep 30, 2021 | 22.23 Mn |
Ormat 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=ORA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=ORA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();