Murphy USA (MUSA) Total Current Liabilities (2012 - 2026)
Murphy USA's Total Current Liabilities was $1.16 billion in Q3 2026, up 23.1% from $940.2 million a year earlier and up 6.2% from the prior quarter.
Murphy USA (MUSA) Total Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Murphy USA came in at $929.1 million, down 2.0% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $947.9 million in FY2024 (+8.6%), $872.8 million in FY2023 (+2.2%), $854.2 million in FY2022 (+26.5%) and $675.3 million in FY2021 (+27.2%).
- The Q3 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2012.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 8.7% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 27.2%); the worst was Q1 2023 (a decline of 8.2%).
- Per Business Quant data, MUSA's Total Current Liabilities in the three quarters before Q3 2026 was $1.09 billion (Q2 2026), $1.05 billion (Q1 2026) and $929.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn | 115.63 Bn |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn | 43.95 Bn |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn | 18.42 Bn |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn | 10.53 Bn |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn | 7.27 Bn |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn | 3.30 Bn |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn | 1.36 Bn |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn | 4.05 Bn |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn | 3.07 Bn |
| 10 | Murphy USA | 9.38 Bn | 8.87 Bn | 714.10 Mn | 1.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.16 Bn |
| Jun 30, 2026 | 1.09 Bn |
| Mar 31, 2026 | 1.05 Bn |
| Dec 31, 2025 | 929.10 Mn |
| Sep 30, 2025 | 940.20 Mn |
| Jun 30, 2025 | 976.10 Mn |
| Mar 31, 2025 | 891.80 Mn |
| Dec 31, 2024 | 947.90 Mn |
| Sep 30, 2024 | 858.80 Mn |
| Jun 30, 2024 | 970.70 Mn |
| Mar 31, 2024 | 884.70 Mn |
| Dec 31, 2023 | 872.80 Mn |
| Sep 30, 2023 | 827.20 Mn |
| Jun 30, 2023 | 815.30 Mn |
| Mar 31, 2023 | 772.00 Mn |
| Dec 31, 2022 | 854.20 Mn |
| Sep 30, 2022 | 755.50 Mn |
| Jun 30, 2022 | 852.70 Mn |
| Mar 31, 2022 | 840.80 Mn |
| Dec 31, 2021 | 675.30 Mn |
Murphy USA Total 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-current-liabilities&ticker=MUSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();