Ormat Technologies (ORA) Selling, General & Administrative (2009 - 2026)
Ormat Technologies (ORA) reported Selling, General & Administrative of $21.1 million for Q2 2026, up 6.7% from $19.79 million a year earlier but down 22.8% from the prior quarter.
Ormat Technologies (ORA) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ormat Technologies' Selling, General & Administrative came in at $90.34 million, up 12.6% year-over-year; for FY2025, it came in at $79.59 million, down 0.7% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $80.12 million in FY2024 (+17.5%), $68.18 million in FY2023 (+11.3%), $61.27 million in FY2022 (-19.3%) and $75.9 million in FY2021 (+26.0%).
- Five-year quarterly Selling, General & Administrative spans a low of $13.53 million in Q2 2022 and a high of $27.34 million in Q1 2026.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with growth averaging 16.0% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2024 (growth of 63.6%); the low point was Q3 2022 (a decline of 31.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.34 million (Q1 2026), $21.72 million (Q4 2025) and $20.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Constellation Energy | 106.51 Bn | 97.41 Bn | - | - |
| 2 | Vistra | 54.68 Bn | 47.87 Bn | - | 392.00 Mn |
| 3 | AXIA Energia | 33.19 Bn | 20.17 Bn | 2.59 Bn | - |
| 4 | Nrg Energy | 22.64 Bn | 16.86 Bn | 2.01 Bn | 562.00 Mn |
| 5 | Talen Energy | 17.58 Bn | 15.14 Bn | - | 98.00 Mn |
| 6 | Enlight Renewable Energy | 8.71 Bn | 5.26 Bn | 117.49 Mn | 18.12 Mn |
| 7 | Brookfield Renewable Partners | 8.01 Bn | -17.15 Bn | 927.00 Mn | - |
| 8 | Oklo | 5.62 Bn | -1.21 Bn | - | 34.21 Mn |
| 9 | Ormat Technologies | 5.60 Bn | 4.20 Bn | 68.70 Mn | 21.10 Mn |
| 10 | Transalta | 3.93 Bn | 2.83 Bn | 313.03 Mn | 126.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.10 Mn |
| Mar 31, 2026 | 27.34 Mn |
| Dec 31, 2025 | 21.72 Mn |
| Sep 30, 2025 | 20.17 Mn |
| Jun 30, 2025 | 19.79 Mn |
| Mar 31, 2025 | 17.91 Mn |
| Dec 31, 2024 | 19.58 Mn |
| Sep 30, 2024 | 22.97 Mn |
| Jun 30, 2024 | 18.03 Mn |
| Mar 31, 2024 | 19.54 Mn |
| Dec 31, 2023 | 18.65 Mn |
| Sep 30, 2023 | 14.04 Mn |
| Jun 30, 2023 | 17.81 Mn |
| Mar 31, 2023 | 17.67 Mn |
| Dec 31, 2022 | 14.12 Mn |
| Sep 30, 2022 | 16.06 Mn |
| Jun 30, 2022 | 13.53 Mn |
| Mar 31, 2022 | 17.57 Mn |
| Dec 31, 2021 | 15.50 Mn |
| Sep 30, 2021 | 23.55 Mn |
Ormat Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=ORA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ORA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();