Murphy USA (MUSA) Interest Expenses (2012 - 2026)
Murphy USA's Interest Expenses came in at $29.3 million for Q2 2026, up 5.4% from $27.8 million a year earlier and up 1.0% from the prior quarter.
Murphy USA (MUSA) Interest Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Murphy USA reported Interest Expenses of $116 million, up 15.4% year-over-year; for FY2025, it came in at $110.9 million, up 14.2% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $97.1 million in FY2024 (-1.4%), $98.5 million in FY2023 (+15.5%), $85.3 million in FY2022 (+3.5%) and $82.4 million in FY2021 (+60.9%).
- The Q2 2026 figure represents the highest quarterly Interest Expenses in data going back to Q3 2012.
- Year-over-year, Interest Expenses has increased for six consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q3 2021 (growth of 65.3%), and the weakest in Q1 2022 (a decline of 8.0%).
- Business Quant data shows MUSA's Interest Expenses at $29 million (Q1 2026), $28.6 million (Q4 2025) and $29.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | 45.00 Mn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | 3.00 Mn |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | - |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | 22.06 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 | 77.00 Mn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | 17.10 Mn |
| 10 | Murphy USA | 9.89 Bn | 9.52 Bn | 746.50 Mn | 29.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.30 Mn |
| Mar 31, 2026 | 29.00 Mn |
| Dec 31, 2025 | 28.60 Mn |
| Sep 30, 2025 | 29.10 Mn |
| Jun 30, 2025 | 27.80 Mn |
| Mar 31, 2025 | 25.40 Mn |
| Dec 31, 2024 | 22.90 Mn |
| Sep 30, 2024 | 24.40 Mn |
| Jun 30, 2024 | 24.90 Mn |
| Mar 31, 2024 | 24.90 Mn |
| Dec 31, 2023 | 24.00 Mn |
| Sep 30, 2023 | 24.60 Mn |
| Jun 30, 2023 | 25.00 Mn |
| Mar 31, 2023 | 24.90 Mn |
| Dec 31, 2022 | 23.70 Mn |
| Sep 30, 2022 | 21.80 Mn |
| Jun 30, 2022 | 20.20 Mn |
| Mar 31, 2022 | 19.60 Mn |
| Dec 31, 2021 | 20.20 Mn |
| Sep 30, 2021 | 20.50 Mn |
Murphy USA Interest Expenses 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=interest-expenses&ticker=MUSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();