Sunoco (SUN) Accumulated Expenses (2011 - 2026)
Sunoco's (SUN) quarterly Accumulated Expenses came in at $1.1 billion in Q2 2026, up 137.05% year-over-year from $448.0 million in Q2 2025, and up 15.06% quarter-over-quarter from $923.0 million in Q1 2026.
Sunoco (SUN) Accumulated Expenses (2011 - 2026) Analysis & Trends
Sunoco (SUN) has reported Accumulated Expenses for 16 consecutive years, with $1.1 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 137.05% year-over-year to $1.1 billion in Q2 2026; TTM through Jun 2026 was $1.1 billion, a 137.05% increase from a year earlier, with the FY2025 full-year figure at $953.0 million, up 108.53% from the prior year.
- Accumulated Expenses was $1.1 billion for Q2 2026 at Sunoco, up from $923.0 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $1.1 billion in Q2 2026 and troughed at $275.0 million in Q1 2022.
- A 5-year average of $489.8 million and a median of $400.5 million in 2023 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses fell 26.92% in 2025 and soared 137.05% in 2026, its largest moves.
- Over 5 years, Accumulated Expenses stood at $310.0 million in 2022, then advanced by 13.87% to $353.0 million in 2023, then rose by 29.46% to $457.0 million in 2024, then soared by 108.53% to $953.0 million in 2025, then grew by 11.44% to $1.1 billion in 2026.
- The last three Accumulated Expenses figures came in at $1.1 billion (Q2 2026), $923.0 million (Q1 2026), and $953.0 million (Q4 2025), per Business Quant data.
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 | 1.06 Bn |
| Mar 31, 2026 | 923.00 Mn |
| Dec 31, 2025 | 953.00 Mn |
| Sep 30, 2025 | 522.00 Mn |
| Jun 30, 2025 | 448.00 Mn |
| Mar 31, 2025 | 460.00 Mn |
| Dec 31, 2024 | 457.00 Mn |
| Sep 30, 2024 | 515.00 Mn |
| Jun 30, 2024 | 613.00 Mn |
| Mar 31, 2024 | 302.00 Mn |
| Dec 31, 2023 | 353.00 Mn |
| Sep 30, 2023 | 350.00 Mn |
| Jun 30, 2023 | 343.00 Mn |
| Mar 31, 2023 | 291.00 Mn |
| Dec 31, 2022 | 310.00 Mn |
| Sep 30, 2022 | 326.00 Mn |
| Jun 30, 2022 | 314.00 Mn |
| Mar 31, 2022 | 275.00 Mn |
| Dec 31, 2021 | 291.00 Mn |
| Sep 30, 2021 | 306.00 Mn |
Sunoco 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=SUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SUN", "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=SUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();