Murphy USA (MUSA) Long-Term Debt Repayments (2012 - 2026)
Murphy USA (MUSA) recorded Long-Term Debt Repayments of $696.8 million in Q2 2026, down 31.2% from $1.01 billion a year earlier but up 12.8% from the prior quarter.
Powered by 
Analysis
Murphy USA (MUSA) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
On a TTM basis, Murphy USA's Long-Term Debt Repayments came in at $2.43 billion as of Jun 30, 2026, up 16.5% year-over-year; for FY2025, it came in at $2.65 billion, up 298.1% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 132.7% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $666.7 million in FY2024, $23.4 million in FY2023 (+15.8%), $20.2 million in FY2022 (-91.0%) and $224.3 million in FY2021 (+476.6%).
- Quarterly Long-Term Debt Repayments has ranged from $3.6 million in Q3 2021 to $1.01 billion in Q2 2025 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last five quarters, with growth averaging 193.3%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 717.6% in Q2 2025, against a decline of 98.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $617.8 million (Q1 2026), $518.3 million (Q4 2025) and $593.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | 799.00 Mn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | -57.00 Mn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | - |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | 42.00 Mn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | 7.80 Mn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | 45.21 Mn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn | 2.84 Bn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | 1.49 Bn |
| 10 | Murphy USA | 9.89 Bn | 9.52 Bn | 746.50 Mn | 696.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 696.80 Mn |
| Mar 31, 2026 | 617.80 Mn |
| Dec 31, 2025 | 518.30 Mn |
| Sep 30, 2025 | 593.10 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 530.00 Mn |
| Dec 31, 2024 | 351.00 Mn |
| Sep 30, 2024 | 187.90 Mn |
| Jun 30, 2024 | 123.90 Mn |
| Mar 31, 2024 | 3.90 Mn |
| Dec 31, 2023 | 3.80 Mn |
| Sep 30, 2023 | 3.90 Mn |
| Jun 30, 2023 | 3.90 Mn |
| Mar 31, 2023 | 11.80 Mn |
| Dec 31, 2022 | 8.80 Mn |
| Sep 30, 2022 | 3.80 Mn |
| Jun 30, 2022 | 3.80 Mn |
| Mar 31, 2022 | 3.80 Mn |
| Dec 31, 2021 | 3.80 Mn |
| Sep 30, 2021 | 3.60 Mn |
API Access
Murphy USA Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MUSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();