Marathon Petroleum (MPC) Operating Expenses (2010 - 2026)
Marathon Petroleum's Operating Expenses came in at $45.02 billion for Q2 2026, up 41.1% from $31.9 billion a year earlier and up 35.7% from the prior quarter.
Marathon Petroleum (MPC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Marathon Petroleum reported Operating Expenses of $142.04 billion, up 9.8% year-over-year; for FY2025, it came in at $126.93 billion, down 5.0% from FY2024.
- Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $133.62 billion in FY2024 (-1.6%), $135.79 billion in FY2023 (-14.3%), $158.48 billion in FY2022 (+35.9%) and $116.63 billion in FY2021 (+43.5%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q2 2022.
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with growth averaging 1.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 90.1%), and the weakest in Q2 2023 (a decline of 27.0%).
- Business Quant data shows MPC's Operating Expenses at $33.16 billion (Q1 2026), $30.73 billion (Q4 2025) and $33.14 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Marathon Petroleum | 125.20 Bn | 108.95 Bn | 9.27 Bn | 45.02 Bn |
| 2 | Valero Energy | 109.03 Bn | 80.89 Bn | 9.41 Bn | 308.00 Mn |
| 3 | HF Sinclair | 19.74 Bn | 12.02 Bn | 3.15 Bn | 8.19 Bn |
| 4 | Sunoco | 9.45 Bn | 3.83 Bn | 1.46 Bn | 13.68 Bn |
| 5 | PBF Energy | 8.92 Bn | 8.92 Bn | - | 10.03 Bn |
| 6 | Ultrapar Holdings | 6.08 Bn | -1.15 Bn | 912.61 Mn | 124.47 Mn |
| 7 | Cvr Energy | 5.64 Bn | 3.21 Bn | 117.00 Mn | 52.00 Mn |
| 8 | Delek US Holdings | 4.32 Bn | 1.81 Bn | 365.10 Mn | 3.78 Bn |
| 9 | Bw Lpg | 3.57 Bn | 2.55 Bn | - | 101.47 Mn |
| 10 | Par Pacific Holdings | 3.49 Bn | 2.81 Bn | 852.68 Mn | 2.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.02 Bn |
| Mar 31, 2026 | 33.16 Bn |
| Dec 31, 2025 | 30.73 Bn |
| Sep 30, 2025 | 33.14 Bn |
| Jun 30, 2025 | 31.90 Bn |
| Mar 31, 2025 | 31.16 Bn |
| Dec 31, 2024 | 32.33 Bn |
| Sep 30, 2024 | 34.02 Bn |
| Jun 30, 2024 | 35.84 Bn |
| Mar 31, 2024 | 31.43 Bn |
| Dec 31, 2023 | 34.43 Bn |
| Sep 30, 2023 | 36.83 Bn |
| Jun 30, 2023 | 33.52 Bn |
| Mar 31, 2023 | 31.02 Bn |
| Dec 31, 2022 | 35.35 Bn |
| Sep 30, 2022 | 40.55 Bn |
| Jun 30, 2022 | 45.91 Bn |
| Mar 31, 2022 | 36.67 Bn |
| Dec 31, 2021 | 33.83 Bn |
| Sep 30, 2021 | 31.27 Bn |
Marathon Petroleum Operating 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=operating-expenses&ticker=MPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MPC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=MPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();