Arko (ARKO) Change in Accrued Expenses (2020 - 2026)
Arko (ARKO) posted Change in Accrued Expenses of $6.23 million for Q3 2026, compared with -$1.31 million a year earlier and up 178.8% from the prior quarter.
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Arko (ARKO) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Arko was $26.02 million, up 289.7% year-over-year; for FY2025, it was $12.6 million, up 23.4% from FY2024.
- Annual Change in Accrued Expenses shows a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- In prior years, Arko's Change in Accrued Expenses was $10.21 million in FY2024 (-31.4%), $14.89 million in FY2023 (+65.3%), $9.01 million in FY2022 (+19.0%) and $7.57 million in FY2021 (+57.5%).
- Quarterly Change in Accrued Expenses has run from a low of -$3.24 million in Q3 2022 to a high of $13.2 million in Q1 2026 over five years.
- On a year-over-year basis, Change in Accrued Expenses increased in two of the last four quarters, with growth averaging 15.7%.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q2 2022, with growth of 156.3%; the weakest was Q4 2022, with a decline of 56.8%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $2.24 million (Q2 2026), $13.2 million (Q1 2026) and $4.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 1,016.23 Bn | 978.93 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 490.35 Bn | 413.63 Bn | 12.19 Bn | - |
| 3 | Kroger | 41.83 Bn | 27.99 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.95 Bn | 29.87 Bn | 4.05 Bn | -132.00 Mn |
| 5 | Dollar General | 29.60 Bn | 24.27 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 26.32 Bn | 24.31 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 25.91 Bn | 22.54 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 23.28 Bn | 23.08 Bn | 1.90 Bn | 71.00 Mn |
| 9 | Tractor Supply | 18.93 Bn | 18.08 Bn | 1.42 Bn | 36.35 Mn |
| 10 | Arko | 448.70 Mn | -521.73 Mn | 383.22 Mn | 6.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.23 Mn |
| Jun 30, 2026 | 2.24 Mn |
| Mar 31, 2026 | 13.20 Mn |
| Dec 31, 2025 | 4.35 Mn |
| Sep 30, 2025 | -1.31 Mn |
| Jun 30, 2025 | 1.63 Mn |
| Mar 31, 2025 | 7.93 Mn |
| Dec 31, 2024 | -1.57 Mn |
| Sep 30, 2024 | -1.77 Mn |
| Jun 30, 2024 | 1.78 Mn |
| Mar 31, 2024 | 11.78 Mn |
| Dec 31, 2023 | -2.83 Mn |
| Sep 30, 2023 | 8.35 Mn |
| Jun 30, 2023 | -2.21 Mn |
| Mar 31, 2023 | 11.58 Mn |
| Dec 31, 2022 | 1.39 Mn |
| Sep 30, 2022 | -3.24 Mn |
| Jun 30, 2022 | 1.34 Mn |
| Mar 31, 2022 | 9.51 Mn |
| Dec 31, 2021 | 3.22 Mn |
API Access
Arko Change in Accrued 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=ARKO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ARKO", "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=ARKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();