Idacorp (IDA) Regulatory Liabilities (2009 - 2026)
Idacorp (IDA) posted Regulatory Liabilities of $1.06 billion for Q3 2026, up 5.4% from $1.01 billion a year earlier and up 3.4% from the prior quarter.
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Analysis
Idacorp (IDA) Regulatory Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Idacorp's Regulatory Liabilities came in at $1.03 billion, up 5.6% from FY2024.
- Annual Regulatory Liabilities has increased for 16 consecutive years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, Idacorp's Regulatory Liabilities was $976.8 million in FY2024 (+11.7%), $874.6 million in FY2023 (+9.8%), $796.64 million in FY2022 (+1.9%) and $781.7 million in FY2021 (+3.2%).
- The Q3 2026 figure stands as the highest quarterly Regulatory Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Regulatory Liabilities has increased in each of the last 62 quarters, with growth averaging 8.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Regulatory Liabilities ran from 1.1% in Q2 2023 to 13.6% in Q3 2025.
- According to Business Quant data, Regulatory Liabilities for the three prior quarters was $1.03 billion (Q2 2026), $1 billion (Q1 2026) and $1.03 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Regulatory Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 299.49 Bn | 296.88 Bn | - | - |
| 2 | Nextera Energy | 179.92 Bn | 166.66 Bn | - | 13.32 Bn |
| 3 | Southern | 105.56 Bn | 96.61 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 99.44 Bn | 95.69 Bn | 5.66 Bn | 15.36 Bn |
| 5 | National Grid | 82.69 Bn | 64.32 Bn | - | - |
| 6 | American Electric Power | 68.52 Bn | 66.31 Bn | 4.75 Bn | 8.75 Bn |
| 7 | Dominion Energy | 59.67 Bn | 57.66 Bn | - | 9.42 Bn |
| 8 | Entergy | 52.06 Bn | 38.50 Bn | - | 3.90 Bn |
| 9 | Sempra | 51.32 Bn | 50.45 Bn | 2.89 Bn | 4.40 Bn |
| 10 | Idacorp | 8.45 Bn | 7.62 Bn | - | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.06 Bn |
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 1.00 Bn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 1.01 Bn |
| Jun 30, 2025 | 990.78 Mn |
| Mar 31, 2025 | 987.34 Mn |
| Dec 31, 2024 | 976.80 Mn |
| Sep 30, 2024 | 888.70 Mn |
| Jun 30, 2024 | 882.32 Mn |
| Mar 31, 2024 | 869.40 Mn |
| Dec 31, 2023 | 874.60 Mn |
| Sep 30, 2023 | 815.08 Mn |
| Jun 30, 2023 | 803.55 Mn |
| Mar 31, 2023 | 799.93 Mn |
| Dec 31, 2022 | 796.64 Mn |
| Sep 30, 2022 | 797.90 Mn |
| Jun 30, 2022 | 794.75 Mn |
| Mar 31, 2022 | 791.17 Mn |
| Dec 31, 2021 | 781.70 Mn |
API Access
Idacorp Regulatory Liabilities 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=regulatory-liabilities&ticker=IDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "regulatory-liabilities", "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=regulatory-liabilities&ticker=IDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();