Murphy USA (MUSA) Selling, General & Administrative (2012 - 2026)
Murphy USA (MUSA) reported Selling, General & Administrative of $60.5 million for Q2 2026, up 18.9% from $50.9 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Murphy USA (MUSA) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Murphy USA's Selling, General & Administrative came in at $237.6 million, up 5.5% year-over-year; for FY2025, it came in at $231.5 million, down 1.7% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $235.4 million in FY2024 (-2.1%), $240.5 million in FY2023 (+3.4%), $232.5 million in FY2022 (+20.1%) and $193.6 million in FY2021 (+13.2%).
- Five-year quarterly Selling, General & Administrative spans a low of $46.2 million in Q1 2022 and a high of $81.7 million in Q4 2022.
- Year over year, Selling, General & Administrative gained in two of the last eight quarters, with an average decline of 0.5%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2022 (growth of 52.4%); the low point was Q4 2023 (a decline of 24.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $56.6 million (Q1 2026), $65.2 million (Q4 2025) and $55.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 953.29 Bn | 909.72 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 445.64 Bn | 368.92 Bn | 12.19 Bn | 8.39 Bn |
| 3 | Kroger | 40.41 Bn | 26.56 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.10 Bn | 33.35 Bn | 4.13 Bn | - |
| 5 | Dollar General | 29.08 Bn | 23.76 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 25.85 Bn | 23.85 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 23.80 Bn | 20.42 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 22.16 Bn | 21.96 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 17.62 Bn | 16.78 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Murphy USA | 9.86 Bn | 9.49 Bn | 746.50 Mn | 60.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.50 Mn |
| Mar 31, 2026 | 56.60 Mn |
| Dec 31, 2025 | 65.20 Mn |
| Sep 30, 2025 | 55.30 Mn |
| Jun 30, 2025 | 50.90 Mn |
| Mar 31, 2025 | 60.10 Mn |
| Dec 31, 2024 | 54.20 Mn |
| Sep 30, 2024 | 60.00 Mn |
| Jun 30, 2024 | 59.10 Mn |
| Mar 31, 2024 | 62.10 Mn |
| Dec 31, 2023 | 62.10 Mn |
| Sep 30, 2023 | 60.00 Mn |
| Jun 30, 2023 | 59.40 Mn |
| Mar 31, 2023 | 59.00 Mn |
| Dec 31, 2022 | 81.70 Mn |
| Sep 30, 2022 | 52.40 Mn |
| Jun 30, 2022 | 52.20 Mn |
| Mar 31, 2022 | 46.20 Mn |
| Dec 31, 2021 | 53.60 Mn |
| Sep 30, 2021 | 47.20 Mn |
API Access
Murphy USA Selling, General & Administrative 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=selling-general-and-administrative&ticker=MUSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();