Murphy USA (MUSA) Net Income (2012 - 2026)
Murphy USA (MUSA) posted Net Income of $209.1 million for Q2 2026, up 43.6% from $145.6 million a year earlier and up 53.4% from the prior quarter.
Murphy USA (MUSA) Net Income (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Income at Murphy USA was $617.2 million, up 25.8% year-over-year; for FY2025, it was $470.6 million, down 6.3% from FY2024.
- Annual Net Income has declined for three consecutive years, though with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In prior years, Murphy USA's Net Income was $502.5 million in FY2024 (-9.8%), $556.8 million in FY2023 (-17.3%), $672.9 million in FY2022 (+69.5%) and $396.9 million in FY2021 (+2.8%).
- The Q2 2026 figure stands as the highest quarterly Net Income since Q3 2022.
- On a year-over-year basis, Net Income increased in three of the last eight quarters, with growth averaging 18.9%.
- The strongest year-over-year quarter for Net Income in the past five years was Q1 2022, with growth of 175.6%; the weakest was Q1 2024, with a decline of 37.9%.
- According to Business Quant data, Net Income for the three prior quarters was $136.3 million (Q1 2026), $141.9 million (Q4 2025) and $129.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 6.53 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 3.00 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 551.00 Mn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 642.00 Mn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 550.32 Mn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 273.72 Mn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 514.50 Mn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 275.00 Mn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 360.72 Mn |
| 10 | Murphy USA | 9.91 Bn | 9.54 Bn | 746.50 Mn | 209.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.10 Mn |
| Mar 31, 2026 | 136.30 Mn |
| Dec 31, 2025 | 141.90 Mn |
| Sep 30, 2025 | 129.90 Mn |
| Jun 30, 2025 | 145.60 Mn |
| Mar 31, 2025 | 53.20 Mn |
| Dec 31, 2024 | 142.50 Mn |
| Sep 30, 2024 | 149.20 Mn |
| Jun 30, 2024 | 144.80 Mn |
| Mar 31, 2024 | 66.00 Mn |
| Dec 31, 2023 | 150.00 Mn |
| Sep 30, 2023 | 167.70 Mn |
| Jun 30, 2023 | 132.80 Mn |
| Mar 31, 2023 | 106.30 Mn |
| Dec 31, 2022 | 117.70 Mn |
| Sep 30, 2022 | 219.50 Mn |
| Jun 30, 2022 | 183.30 Mn |
| Mar 31, 2022 | 152.40 Mn |
| Dec 31, 2021 | 108.80 Mn |
| Sep 30, 2021 | 104.00 Mn |
Murphy USA Net Income 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=net-income&ticker=MUSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();