Mdu Resources (MDU) Other Non-Current Liabilities (2009 - 2026)
Mdu Resources (MDU) recorded Other Non-Current Liabilities of $441.05 million in Q2 2026, up 6.2% from $415.14 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Mdu Resources (MDU) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mdu Resources reported Other Non-Current Liabilities of $431.59 million, up 6.1% from FY2024.
- Annual Other Non-Current Liabilities has increased for three straight years, though with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $406.65 million in FY2024 (+5.6%), $385.15 million in FY2023 (+3.2%), $373.15 million in FY2022 (-14.3%) and $435.28 million in FY2021 (-2.6%).
- The Q2 2026 figure is the highest quarterly Other Non-Current Liabilities since Q3 2022.
- On a year-over-year basis, Other Non-Current Liabilities has increased for 11 consecutive quarters, with growth averaging 5.5% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 7.0% in Q3 2021, against a decline of 18.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $436.21 million (Q1 2026), $431.59 million (Q4 2025) and $419.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - |
| 10 | Mdu Resources | 3.90 Bn | 3.70 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 441.05 Mn |
| Mar 31, 2026 | 436.21 Mn |
| Dec 31, 2025 | 431.59 Mn |
| Sep 30, 2025 | 419.62 Mn |
| Jun 30, 2025 | 415.14 Mn |
| Mar 31, 2025 | 410.72 Mn |
| Dec 31, 2024 | 406.65 Mn |
| Sep 30, 2024 | 397.95 Mn |
| Jun 30, 2024 | 393.74 Mn |
| Mar 31, 2024 | 388.45 Mn |
| Dec 31, 2023 | 385.15 Mn |
| Sep 30, 2023 | 384.08 Mn |
| Jun 30, 2023 | 380.06 Mn |
| Mar 31, 2023 | 376.09 Mn |
| Dec 31, 2022 | 373.15 Mn |
| Sep 30, 2022 | 444.97 Mn |
| Jun 30, 2022 | 440.22 Mn |
| Mar 31, 2022 | 463.08 Mn |
| Dec 31, 2021 | 435.28 Mn |
| Sep 30, 2021 | 455.52 Mn |
API Access
Mdu Resources Other Non-Current 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=other-non-current-liabilities&ticker=MDU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=MDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();