Mdu Resources (MDU) Total Non-Current Liabilities (2009 - 2026)
Mdu Resources (MDU) reported Total Non-Current Liabilities of $4.29 billion for Q2 2026, up 18.4% from $3.62 billion a year earlier and up 5.5% from the prior quarter.
Mdu Resources (MDU) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mdu Resources posted Total Non-Current Liabilities of $4.16 billion, up 13.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $3.67 billion in FY2024 (-4.7%), $3.85 billion in FY2023 (-16.1%), $4.59 billion in FY2022 (+3.6%) and $4.44 billion in FY2021 (+10.6%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2023.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 2.9% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 18.4%); the low point was Q4 2023 (a decline of 16.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.06 billion (Q1 2026), $4.16 billion (Q4 2025) and $3.8 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 4.60 Bn |
| 2 | National Grid | 77.93 Bn | 59.46 Bn | - | -3.15 Bn |
| 3 | Dominion Energy | 53.37 Bn | 56.05 Bn | - | 58.73 Bn |
| 4 | Xcel Energy | 44.14 Bn | 39.04 Bn | - | 44.62 Bn |
| 5 | Wec Energy | 33.42 Bn | 33.65 Bn | 1.51 Bn | 32.97 Bn |
| 6 | Ameren | 27.75 Bn | 27.83 Bn | - | 36.52 Bn |
| 7 | Fortis | 26.92 Bn | 27.40 Bn | 1.60 Bn | 36.10 Bn |
| 8 | Atmos Energy | 26.63 Bn | 25.40 Bn | 870.85 Mn | 15.51 Bn |
| 9 | American Water Works Company | 25.79 Bn | 25.20 Bn | - | 24.57 Bn |
| 10 | Mdu Resources | 3.93 Bn | 3.73 Bn | - | 4.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.29 Bn |
| Mar 31, 2026 | 4.06 Bn |
| Dec 31, 2025 | 4.16 Bn |
| Sep 30, 2025 | 3.80 Bn |
| Jun 30, 2025 | 3.62 Bn |
| Mar 31, 2025 | 3.58 Bn |
| Dec 31, 2024 | 3.67 Bn |
| Sep 30, 2024 | 3.83 Bn |
| Jun 30, 2024 | 3.79 Bn |
| Mar 31, 2024 | 3.94 Bn |
| Dec 31, 2023 | 3.85 Bn |
| Sep 30, 2023 | 3.94 Bn |
| Jun 30, 2023 | 3.85 Bn |
| Mar 31, 2023 | 4.63 Bn |
| Dec 31, 2022 | 4.59 Bn |
| Sep 30, 2022 | 4.65 Bn |
| Jun 30, 2022 | 4.56 Bn |
| Mar 31, 2022 | 4.44 Bn |
| Dec 31, 2021 | 4.44 Bn |
| Sep 30, 2021 | 4.16 Bn |
Mdu Resources Total 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=total-non-current-liabilities&ticker=MDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=MDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();