HF Sinclair (DINO) Change in Accured Expenses (2021 - 2026)
HF Sinclair (DINO) posted Change in Accured Expenses of $274 million for Q2 2026, up 234.1% from $82 million a year earlier but down 1.1% from the prior quarter.
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Analysis
HF Sinclair (DINO) Change in Accured Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at HF Sinclair was $457 million, up 661.7% year-over-year; for FY2025, it came in at $62 million.
- In prior years, HF Sinclair's Change in Accured Expenses was -$63 million in FY2024, -$30 million in FY2023, $78 million in FY2022 (-6.7%) and $83.6 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$132.22 million in Q4 2021 to a high of $277 million in Q1 2026 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 93.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q1 2026, with growth of 274.3%; the weakest was Q3 2025, with a decline of 90.0%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $277 million (Q1 2026), -$95 million (Q4 2025) and $1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Marathon Petroleum | 137.97 Bn | 121.73 Bn | 9.27 Bn | 2.88 Bn |
| 2 | Valero Energy | 134.23 Bn | 111.17 Bn | 5.47 Bn | - |
| 3 | HF Sinclair | 23.03 Bn | 17.20 Bn | 1.57 Bn | 274.00 Mn |
| 4 | PBF Energy | 10.79 Bn | 8.35 Bn | 1.15 Bn | 152.40 Mn |
| 5 | Sunoco | 10.43 Bn | 4.80 Bn | 1.46 Bn | - |
| 6 | Ultrapar Holdings | 8.35 Bn | 1.76 Bn | 912.61 Mn | - |
| 7 | Cvr Energy | 6.36 Bn | 3.93 Bn | 117.00 Mn | - |
| 8 | Delek US Holdings | 4.96 Bn | 2.45 Bn | 365.10 Mn | -51.60 Mn |
| 9 | Icahn Enterprises | 4.49 Bn | -1.27 Bn | - | - |
| 10 | Par Pacific Holdings | 4.36 Bn | 3.68 Bn | 852.68 Mn | 107.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 274.00 Mn |
| Mar 31, 2026 | 277.00 Mn |
| Dec 31, 2025 | -95.00 Mn |
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 82.00 Mn |
| Mar 31, 2025 | 74.00 Mn |
| Dec 31, 2024 | -106.00 Mn |
| Sep 30, 2024 | 10.00 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 31.00 Mn |
| Dec 31, 2023 | -112.12 Mn |
| Sep 30, 2023 | 99.62 Mn |
| Jun 30, 2023 | -49.92 Mn |
| Mar 31, 2023 | 32.42 Mn |
| Dec 31, 2022 | -70.52 Mn |
| Sep 30, 2022 | 55.54 Mn |
| Jun 30, 2022 | -20.81 Mn |
| Mar 31, 2022 | 113.80 Mn |
| Dec 31, 2021 | -132.22 Mn |
| Sep 30, 2021 | 61.59 Mn |
API Access
HF Sinclair Change in Accured 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=change-in-accured-expenses&ticker=DINO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "DINO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=DINO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();