Ormat Technologies (ORA) Operating Expenses (2009 - 2026)
Ormat Technologies' Operating Expenses came in at $22.61 million for Q2 2026, up 6.5% from $21.23 million a year earlier but down 20.6% from the prior quarter.
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Analysis
Ormat Technologies (ORA) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ormat Technologies reported Operating Expenses of $95.29 million, up 9.0% year-over-year; for FY2025, it was $85.9 million, down 0.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $86.62 million in FY2024 (+14.9%), $75.39 million in FY2023 (+13.6%), $66.35 million in FY2022 (-17.1%) and $80.03 million in FY2021 (+22.0%).
- The five-year range for quarterly Operating Expenses is $14.91 million (Q2 2022) to $28.47 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 13.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2024 (growth of 60.6%), and the weakest in Q3 2022 (a decline of 30.1%).
- Business Quant data shows ORA's Operating Expenses at $28.47 million (Q1 2026), $22.76 million (Q4 2025) and $21.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Constellation Energy | 106.51 Bn | 97.41 Bn | - | 6.93 Bn |
| 2 | Vistra | 54.68 Bn | 47.87 Bn | - | 392.00 Mn |
| 3 | AXIA Energia | 33.19 Bn | 20.17 Bn | 2.59 Bn | -681.17 Mn |
| 4 | Nrg Energy | 22.64 Bn | 16.86 Bn | 2.01 Bn | 6.54 Bn |
| 5 | Talen Energy | 17.58 Bn | 15.14 Bn | - | 186.00 Mn |
| 6 | Enlight Renewable Energy | 8.71 Bn | 5.26 Bn | 117.49 Mn | 118.69 Mn |
| 7 | Brookfield Renewable Partners | 8.01 Bn | -17.15 Bn | 927.00 Mn | 783.00 Mn |
| 8 | Oklo | 5.62 Bn | -1.21 Bn | - | 74.40 Mn |
| 9 | Ormat Technologies | 5.60 Bn | 4.20 Bn | 68.70 Mn | 22.61 Mn |
| 10 | Transalta | 3.93 Bn | 2.83 Bn | 313.03 Mn | 134.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.61 Mn |
| Mar 31, 2026 | 28.47 Mn |
| Dec 31, 2025 | 22.76 Mn |
| Sep 30, 2025 | 21.46 Mn |
| Jun 30, 2025 | 21.23 Mn |
| Mar 31, 2025 | 20.45 Mn |
| Dec 31, 2024 | 20.97 Mn |
| Sep 30, 2024 | 24.79 Mn |
| Jun 30, 2024 | 19.76 Mn |
| Mar 31, 2024 | 21.10 Mn |
| Dec 31, 2023 | 21.11 Mn |
| Sep 30, 2023 | 15.44 Mn |
| Jun 30, 2023 | 19.90 Mn |
| Mar 31, 2023 | 18.96 Mn |
| Dec 31, 2022 | 15.51 Mn |
| Sep 30, 2022 | 17.30 Mn |
| Jun 30, 2022 | 14.91 Mn |
| Mar 31, 2022 | 18.64 Mn |
| Dec 31, 2021 | 16.45 Mn |
| Sep 30, 2021 | 24.73 Mn |
API Access
Ormat Technologies Operating 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=operating-expenses&ticker=ORA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ORA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();