Mdu Resources (MDU) Regulatory Liabilities (2019 - 2026)
Mdu Resources (MDU) posted Regulatory Liabilities of $478.41 million for Q2 2026, up 2.2% from $468.17 million a year earlier and up 0.7% from the prior quarter.
Powered by 
Analysis
Mdu Resources (MDU) Regulatory Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Mdu Resources' Regulatory Liabilities came in at $472.33 million, up 2.9% from FY2024.
- Annual Regulatory Liabilities shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In prior years, Mdu Resources' Regulatory Liabilities was $459.17 million in FY2024 (-11.9%), $521.05 million in FY2023 (+16.2%), $448.45 million in FY2022 (+4.6%) and $428.79 million in FY2021 (+0.2%).
- The Q2 2026 figure stands as the highest quarterly Regulatory Liabilities since Q1 2024.
- On a year-over-year basis, Regulatory Liabilities has increased in each of the last five quarters, with an average decline of 2.3% over the last eight quarters.
- The strongest year-over-year quarter for Regulatory Liabilities in the past five years was Q4 2023, with growth of 16.2%; the weakest was Q4 2024, with a decline of 11.9%.
- According to Business Quant data, Regulatory Liabilities for the three prior quarters was $474.96 million (Q1 2026), $472.33 million (Q4 2025) and $473.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Regulatory Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 181.61 Bn | 168.36 Bn | - | 13.32 Bn |
| 2 | Southern | 106.32 Bn | 97.38 Bn | 5.92 Bn | - |
| 3 | Duke Energy | 100.02 Bn | 96.28 Bn | 5.66 Bn | 15.36 Bn |
| 4 | National Grid | 83.35 Bn | 55.64 Bn | - | - |
| 5 | American Electric Power | 69.89 Bn | 67.69 Bn | 4.75 Bn | 8.75 Bn |
| 6 | Dominion Energy | 60.05 Bn | 58.04 Bn | - | 9.42 Bn |
| 7 | Entergy | 52.54 Bn | 38.98 Bn | - | 3.90 Bn |
| 8 | Sempra | 51.50 Bn | 50.63 Bn | 2.89 Bn | 4.40 Bn |
| 9 | Xcel Energy | 50.45 Bn | 43.92 Bn | - | 6.56 Bn |
| 10 | Mdu Resources | 4.04 Bn | 3.83 Bn | - | 478.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 478.41 Mn |
| Mar 31, 2026 | 474.96 Mn |
| Dec 31, 2025 | 472.33 Mn |
| Sep 30, 2025 | 473.81 Mn |
| Jun 30, 2025 | 468.17 Mn |
| Mar 31, 2025 | 463.88 Mn |
| Dec 31, 2024 | 459.17 Mn |
| Sep 30, 2024 | 463.79 Mn |
| Jun 30, 2024 | 461.37 Mn |
| Mar 31, 2024 | 523.48 Mn |
| Dec 31, 2023 | 521.05 Mn |
| Sep 30, 2023 | 495.11 Mn |
| Jun 30, 2023 | 455.88 Mn |
| Mar 31, 2023 | 454.67 Mn |
| Dec 31, 2022 | 448.45 Mn |
| Sep 30, 2022 | 433.21 Mn |
| Jun 30, 2022 | 433.02 Mn |
| Mar 31, 2022 | 433.63 Mn |
| Dec 31, 2021 | 428.79 Mn |
| Sep 30, 2021 | 426.14 Mn |
API Access
Mdu Resources 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=MDU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "regulatory-liabilities", "ticker": "MDU", "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=MDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();