Murphy USA (MUSA) Total Non-Current Liabilities (2012 - 2026)
Murphy USA (MUSA) posted Total Non-Current Liabilities of $4.21 billion for Q2 2026, up 8.1% from $3.89 billion a year earlier and up 2.3% from the prior quarter.
Powered by 
Analysis
Murphy USA (MUSA) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Murphy USA's Total Non-Current Liabilities came in at $4.02 billion, up 9.9% from FY2024.
- Annual Total Non-Current Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In prior years, Murphy USA's Total Non-Current Liabilities was $3.65 billion in FY2024 (+5.4%), $3.47 billion in FY2023 (+0.8%), $3.44 billion in FY2022 (+7.4%) and $3.2 billion in FY2021 (+71.5%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2012.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 12 quarters, with growth averaging 8.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2021, with growth of 89.2%; the weakest was Q1 2023, with a decline of 0.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $4.12 billion (Q1 2026), $4.02 billion (Q4 2025) and $4.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn | 50.28 Bn |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn | 41.67 Bn |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn | 15.88 Bn |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn | 10.31 Bn |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn | 4.92 Bn |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn | 9.44 Bn |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn | 9.42 Bn |
| 10 | Murphy USA | 9.38 Bn | 8.87 Bn | 714.10 Mn | 4.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.30 Bn |
| Jun 30, 2026 | 4.21 Bn |
| Mar 31, 2026 | 4.12 Bn |
| Dec 31, 2025 | 4.02 Bn |
| Sep 30, 2025 | 4.05 Bn |
| Jun 30, 2025 | 3.89 Bn |
| Mar 31, 2025 | 3.70 Bn |
| Dec 31, 2024 | 3.65 Bn |
| Sep 30, 2024 | 3.49 Bn |
| Jun 30, 2024 | 3.54 Bn |
| Mar 31, 2024 | 3.45 Bn |
| Dec 31, 2023 | 3.47 Bn |
| Sep 30, 2023 | 3.39 Bn |
| Jun 30, 2023 | 3.38 Bn |
| Mar 31, 2023 | 3.33 Bn |
| Dec 31, 2022 | 3.44 Bn |
| Sep 30, 2022 | 3.31 Bn |
| Jun 30, 2022 | 3.39 Bn |
| Mar 31, 2022 | 3.35 Bn |
| Dec 31, 2021 | 3.20 Bn |
API Access
Murphy USA 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=MUSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MUSA", "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=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();