Murphy USA (MUSA) EBITDA (2012 - 2026)
Murphy USA's EBITDA came in at $377.1 million for Q2 2026, up 32.2% from $285.2 million a year earlier and up 36.0% from the prior quarter.
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Analysis
Murphy USA (MUSA) EBITDA (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Murphy USA reported EBITDA of $1.21 billion, up 21.8% year-over-year; for FY2025, it came in at $995.3 million, up 0.4% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, EBITDA was $990.9 million in FY2024 (-6.0%), $1.05 billion in FY2023 (-11.3%), $1.19 billion in FY2022 (+45.6%) and $816.6 million in FY2021 (+13.4%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q3 2012.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 12.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2022 (growth of 89.6%), and the weakest in Q1 2024 (a decline of 25.2%).
- Business Quant data shows MUSA's EBITDA at $277.3 million (Q1 2026), $282.2 million (Q4 2025) and $271.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.70 Bn | 893.14 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 441.66 Bn | 364.94 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Sysco | 39.63 Bn | 33.88 Bn | 4.13 Bn | 1.27 Bn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 29.32 Bn | 24.00 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 25.27 Bn | 23.26 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 23.82 Bn | 20.44 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 22.59 Bn | 22.39 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 17.31 Bn | 16.48 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Murphy USA | 9.89 Bn | 9.52 Bn | 746.50 Mn | 377.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.10 Mn |
| Mar 31, 2026 | 277.30 Mn |
| Dec 31, 2025 | 282.20 Mn |
| Sep 30, 2025 | 271.70 Mn |
| Jun 30, 2025 | 285.20 Mn |
| Mar 31, 2025 | 156.20 Mn |
| Dec 31, 2024 | 266.20 Mn |
| Sep 30, 2024 | 284.40 Mn |
| Jun 30, 2024 | 276.40 Mn |
| Mar 31, 2024 | 163.90 Mn |
| Dec 31, 2023 | 274.20 Mn |
| Sep 30, 2023 | 304.80 Mn |
| Jun 30, 2023 | 256.50 Mn |
| Mar 31, 2023 | 219.20 Mn |
| Dec 31, 2022 | 229.40 Mn |
| Sep 30, 2022 | 366.30 Mn |
| Jun 30, 2022 | 317.00 Mn |
| Mar 31, 2022 | 276.10 Mn |
| Dec 31, 2021 | 216.00 Mn |
| Sep 30, 2021 | 211.50 Mn |
API Access
Murphy USA EBITDA 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=ebitda&ticker=MUSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();