Idacorp (IDA) Operations and Maintenance (2009 - 2026)
Idacorp's Operations and Maintenance was $142.94 million in Q3 2026, up 18.7% from $120.4 million a year earlier and up 6.9% from the prior quarter.
Idacorp (IDA) Operations and Maintenance (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Idacorp's Operations and Maintenance was $517.9 million through Sep 30, 2026, up 7.1% year-over-year; for FY2025, it was $470.54 million, up 2.1% from FY2024.
- Operations and Maintenance has now increased for five consecutive years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In earlier years, Operations and Maintenance was $460.95 million in FY2024 (+15.3%), $399.86 million in FY2023 (+0.1%), $399.38 million in FY2022 (+10.5%) and $361.3 million in FY2021 (+2.6%).
- The Q3 2026 figure marks the highest quarterly Operations and Maintenance in data going back to Q2 2009.
- Compared with a year earlier, Operations and Maintenance has increased for three straight quarters, with growth averaging 7.7% over the last eight quarters.
- The best year-over-year quarter for Operations and Maintenance over five years was Q3 2024 (growth of 21.2%); the worst was Q4 2025 (a decline of 10.1%).
- Per Business Quant data, IDA's Operations and Maintenance in the three quarters before Q3 2026 was $133.67 million (Q2 2026), $126.13 million (Q1 2026) and $115.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | O&M (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 299.49 Bn | 296.88 Bn | - | - |
| 2 | Nextera Energy | 179.92 Bn | 166.66 Bn | - | 1.43 Bn |
| 3 | Southern | 105.56 Bn | 96.61 Bn | 5.92 Bn | 1.71 Bn |
| 4 | Duke Energy | 99.44 Bn | 95.69 Bn | 5.66 Bn | 1.39 Bn |
| 5 | National Grid | 82.69 Bn | 64.32 Bn | - | - |
| 6 | American Electric Power | 68.52 Bn | 66.31 Bn | 4.75 Bn | - |
| 7 | Dominion Energy | 59.67 Bn | 57.66 Bn | - | 984.00 Mn |
| 8 | Entergy | 52.06 Bn | 38.50 Bn | - | 832.88 Mn |
| 9 | Sempra | 51.32 Bn | 50.45 Bn | 2.89 Bn | - |
| 10 | Idacorp | 8.45 Bn | 7.62 Bn | - | 142.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 142.94 Mn |
| Jun 30, 2026 | 133.67 Mn |
| Mar 31, 2026 | 126.13 Mn |
| Dec 31, 2025 | 115.17 Mn |
| Sep 30, 2025 | 120.40 Mn |
| Jun 30, 2025 | 121.97 Mn |
| Mar 31, 2025 | 113.01 Mn |
| Dec 31, 2024 | 128.05 Mn |
| Sep 30, 2024 | 116.17 Mn |
| Jun 30, 2024 | 110.90 Mn |
| Mar 31, 2024 | 105.83 Mn |
| Dec 31, 2023 | 114.87 Mn |
| Sep 30, 2023 | 95.82 Mn |
| Jun 30, 2023 | 97.12 Mn |
| Mar 31, 2023 | 92.04 Mn |
| Dec 31, 2022 | 106.05 Mn |
| Sep 30, 2022 | 100.68 Mn |
| Jun 30, 2022 | 100.56 Mn |
| Mar 31, 2022 | 92.09 Mn |
| Dec 31, 2021 | 99.43 Mn |
Idacorp Operations and Maintenance 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=operations-and-maintenance&ticker=IDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operations-and-maintenance", "ticker": "IDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operations-and-maintenance&ticker=IDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();