Valero Energy (VLO) Accumulated Expenses (2009 - 2026)
Valero Energy (VLO) posted Accumulated Expenses of $1.3 billion for Q2 2026, up 1.9% on a QoQ basis from $1.3 billion in Q1 2026, and up 3.88% year-over-year from $1.3 billion in Q2 2025.
Valero Energy (VLO) Accumulated Expenses (2009 - 2026) Analysis & Trends
Valero Energy has reported Accumulated Expenses for 18 years, with the latest figure at $1.3 billion in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 3.88% year-over-year to $1.3 billion in Q2 2026; TTM through Jun 2026 was $1.3 billion, a 3.88% increase from a year earlier, with the FY2025 full-year figure at $1.4 billion, up 24.16% from the prior year.
- Accumulated Expenses was $1.3 billion for Q2 2026 at Valero Energy, up from $1.3 billion in the prior quarter.
- The five-year high for Accumulated Expenses was $1.4 billion in Q3 2025, with the low at $1.1 billion in Q2 2024.
- Average Accumulated Expenses over 5 years is $1.2 billion, with a median of $1.2 billion recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: Accumulated Expenses decreased 17.8% in 2022, then advanced 24.16% in 2025.
- Over 5 years, Accumulated Expenses stood at $1.2 billion in 2022, then gained by 2.06% to $1.2 billion in 2023, then dropped by 8.87% to $1.1 billion in 2024, then advanced by 24.16% to $1.4 billion in 2025, then dropped by 4.63% to $1.3 billion in 2026.
- The last three Accumulated Expenses figures came in at $1.3 billion (Q2 2026), $1.3 billion (Q1 2026), and $1.4 billion (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 | 1.34 Bn |
| Mar 31, 2026 | 1.31 Bn |
| Dec 31, 2025 | 1.40 Bn |
| Sep 30, 2025 | 1.44 Bn |
| Jun 30, 2025 | 1.29 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.24 Bn |
| Sep 30, 2023 | 1.22 Bn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 1.17 Bn |
| Dec 31, 2022 | 1.22 Bn |
| Sep 30, 2022 | 1.27 Bn |
| Jun 30, 2022 | 1.11 Bn |
| Mar 31, 2022 | 1.14 Bn |
| Dec 31, 2021 | 1.25 Bn |
| Sep 30, 2021 | 1.54 Bn |
Valero Energy 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=VLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VLO", "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=VLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();