Murphy USA (MUSA) Capital Expenditures (2012 - 2026)
Murphy USA's Capital Expenditures was $111.7 million in Q2 2026, down 5.3% from $118 million a year earlier but up 13.6% from the prior quarter.
Murphy USA (MUSA) Capital Expenditures (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Murphy USA's Capital Expenditures was $443.8 million through Jun 30, 2026, down 5.5% year-over-year; for FY2025, it was $439.6 million, down 4.0% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $458.1 million in FY2024 (+36.5%), $335.6 million in FY2023 (+9.9%), $305.3 million in FY2022 (+11.1%) and $274.7 million in FY2021 (+19.1%).
- Quarterly Capital Expenditures has moved between $63.1 million (Q4 2021) and $136.9 million (Q3 2024) over five years.
- Compared with a year earlier, Capital Expenditures was higher in four of the last eight quarters, with growth averaging 10.8%.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2024 (growth of 72.4%); the worst was Q3 2025 (a decline of 14.5%).
- Per Business Quant data, MUSA's Capital Expenditures in the three quarters before Q2 2026 was $98.3 million (Q1 2026), $116.7 million (Q4 2025) and $117.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 960.94 Bn | 923.64 Bn | 49.13 Bn | 7.50 Bn |
| 2 | Costco Wholesale | 451.34 Bn | 374.62 Bn | 12.19 Bn | 2.21 Bn |
| 3 | Sysco | 40.22 Bn | 34.47 Bn | 4.13 Bn | 239.00 Mn |
| 4 | Kroger | 40.09 Bn | 26.25 Bn | 7.86 Bn | - |
| 5 | Dollar General | 30.69 Bn | 25.37 Bn | 3.68 Bn | 406.85 Mn |
| 6 | Caseys General Stores | 26.38 Bn | 24.37 Bn | 1.24 Bn | 194.40 Mn |
| 7 | Dollar Tree | 24.59 Bn | 21.21 Bn | 2.10 Bn | 246.30 Mn |
| 8 | US Foods Holding | 22.53 Bn | 22.33 Bn | 1.92 Bn | 76.00 Mn |
| 9 | Tractor Supply | 18.12 Bn | 17.29 Bn | 1.68 Bn | 233.10 Mn |
| 10 | Murphy USA | 9.78 Bn | 9.41 Bn | 746.50 Mn | 111.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.70 Mn |
| Mar 31, 2026 | 98.30 Mn |
| Dec 31, 2025 | 116.70 Mn |
| Sep 30, 2025 | 117.10 Mn |
| Jun 30, 2025 | 118.00 Mn |
| Mar 31, 2025 | 87.80 Mn |
| Dec 31, 2024 | 127.00 Mn |
| Sep 30, 2024 | 136.90 Mn |
| Jun 30, 2024 | 118.00 Mn |
| Mar 31, 2024 | 76.20 Mn |
| Dec 31, 2023 | 111.00 Mn |
| Sep 30, 2023 | 79.40 Mn |
| Jun 30, 2023 | 72.50 Mn |
| Mar 31, 2023 | 72.70 Mn |
| Dec 31, 2022 | 82.20 Mn |
| Sep 30, 2022 | 78.20 Mn |
| Jun 30, 2022 | 80.90 Mn |
| Mar 31, 2022 | 64.00 Mn |
| Dec 31, 2021 | 63.10 Mn |
| Sep 30, 2021 | 74.80 Mn |
Murphy USA Capital Expenditures 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=capital-expenditures&ticker=MUSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();