Marathon Petroleum (MPC) Accumulated Expenses (2010 - 2026)
Marathon Petroleum's (MPC) quarterly Accumulated Expenses came in at $823.0 million in Q2 2026, up 8.86% year-over-year from $756.0 million in Q2 2025, and down 31.87% quarter-over-quarter from $1.2 billion in Q1 2026.
Marathon Petroleum (MPC) Accumulated Expenses (2010 - 2026) Analysis & Trends
Marathon Petroleum has disclosed Accumulated Expenses across 17 years of filings, most recently posting $823.0 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 8.86% year-over-year to $823.0 million; the TTM figure through Jun 2026 stood at $823.0 million (up 8.86% YoY), while the FY2025 annual figure was $1.1 billion, up 1.0% from the prior year.
- Accumulated Expenses came in at $823.0 million for Q2 2026 at Marathon Petroleum, down from $1.2 billion in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $1.2 billion in Q1 2026 to a low of $619.0 million in Q2 2022.
- Average Accumulated Expenses over 5 years is $933.5 million, with a median of $967.5 million recorded in 2022.
- Year-over-year, Accumulated Expenses surged 94.81% in 2022 and sank 34.84% in 2023.
- Over 5 years, Accumulated Expenses stood at $967.0 million in 2022, then increased by 15.31% to $1.1 billion in 2023, then slipped by 1.7% to $1.1 billion in 2024, then advanced by 1.0% to $1.1 billion in 2025, then fell by 25.65% to $823.0 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $823.0 million in Q2 2026, $1.2 billion in Q1 2026, and $1.1 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marathon Petroleum | 109.49 Bn | 108.36 Bn | 9.27 Bn |
| 2 | Valero Energy | 108.59 Bn | 103.98 Bn | 5.47 Bn |
| 3 | HF Sinclair | 18.97 Bn | 16.77 Bn | 1.57 Bn |
| 4 | Sunoco | 10.01 Bn | 9.24 Bn | 1.46 Bn |
| 5 | PBF Energy | 8.52 Bn | 7.77 Bn | 1.15 Bn |
| 6 | Ultrapar Holdings | 8.23 Bn | 6.52 Bn | 912.61 Mn |
| 7 | Cvr Energy | 5.25 Bn | 4.73 Bn | 117.00 Mn |
| 8 | Icahn Enterprises | 5.06 Bn | 3.09 Bn | 198.00 Mn |
| 9 | Delek US Holdings | 4.49 Bn | 4.10 Bn | 365.10 Mn |
| 10 | Par Pacific Holdings | 3.96 Bn | 3.81 Bn | 852.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 823.00 Mn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 968.00 Mn |
| Jun 30, 2025 | 756.00 Mn |
| Mar 31, 2025 | 1.16 Bn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 967.00 Mn |
| Jun 30, 2024 | 766.00 Mn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 979.00 Mn |
| Jun 30, 2023 | 712.00 Mn |
| Mar 31, 2023 | 636.00 Mn |
| Dec 31, 2022 | 967.00 Mn |
| Sep 30, 2022 | 773.00 Mn |
| Jun 30, 2022 | 619.00 Mn |
| Mar 31, 2022 | 976.00 Mn |
| Dec 31, 2021 | 911.00 Mn |
| Sep 30, 2021 | 808.00 Mn |
Marathon Petroleum Accumulated 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=accumulated-expenses&ticker=MPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();