Idacorp (IDA) Operating Expenses (2009 - 2026)
Idacorp's Operating Expenses was $339.29 million in Q2 2026, down 3.1% from $350.31 million a year earlier but up 5.3% from the prior quarter.
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Analysis
Idacorp (IDA) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Idacorp's Operating Expenses was $1.39 billion through Jun 30, 2026, down 5.9% year-over-year; for FY2025, it came in at $1.46 billion, down 2.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.5 billion in FY2024 (+3.2%), $1.45 billion in FY2023 (+10.3%), $1.32 billion in FY2022 (+16.7%) and $1.13 billion in FY2021 (+8.4%).
- Quarterly Operating Expenses has moved between $277.22 million (Q2 2022) and $399.34 million (Q1 2024) over five years.
- Compared with a year earlier, Operating Expenses has declined for four straight quarters, with an average decline of 3.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 29.4%); the worst was Q1 2026 (a decline of 14.7%).
- Per Business Quant data, IDA's Operating Expenses in the three quarters before Q2 2026 was $322.2 million (Q1 2026), $351.59 million (Q4 2025) and $379.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 77.93 Bn | 59.46 Bn | - | - |
| 3 | Dominion Energy | 53.37 Bn | 56.05 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 44.14 Bn | 39.04 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 33.42 Bn | 33.65 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.75 Bn | 27.83 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.92 Bn | 27.40 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.63 Bn | 25.40 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.79 Bn | 25.20 Bn | - | 813.00 Mn |
| 10 | Idacorp | 7.58 Bn | 6.62 Bn | - | 339.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 339.29 Mn |
| Mar 31, 2026 | 322.20 Mn |
| Dec 31, 2025 | 351.59 Mn |
| Sep 30, 2025 | 379.60 Mn |
| Jun 30, 2025 | 350.31 Mn |
| Mar 31, 2025 | 377.53 Mn |
| Dec 31, 2024 | 356.87 Mn |
| Sep 30, 2024 | 394.82 Mn |
| Jun 30, 2024 | 347.77 Mn |
| Mar 31, 2024 | 399.34 Mn |
| Dec 31, 2023 | 375.16 Mn |
| Sep 30, 2023 | 384.62 Mn |
| Jun 30, 2023 | 331.54 Mn |
| Mar 31, 2023 | 361.56 Mn |
| Dec 31, 2022 | 366.18 Mn |
| Sep 30, 2022 | 389.79 Mn |
| Jun 30, 2022 | 277.22 Mn |
| Mar 31, 2022 | 283.62 Mn |
| Dec 31, 2021 | 283.07 Mn |
| Sep 30, 2021 | 322.75 Mn |
API Access
Idacorp 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=IDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();