Arko (ARKO) Other Operating Expenses (2020 - 2026)
Arko's Other Operating Expenses came in at $272.1 million for Q3 2026, down 12.2% from $309.92 million a year earlier but up 0.2% from the prior quarter.
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Analysis
Arko (ARKO) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Arko reported Other Operating Expenses of $1.06 billion, down 17.3% year-over-year; for FY2025, it was $1.21 billion, down 18.1% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $1.48 billion in FY2024 (+24.7%), $1.18 billion in FY2023 (+14.2%), $1.04 billion in FY2022 (-5.2%) and $1.09 billion in FY2021 (+1.0%).
- The five-year range for quarterly Other Operating Expenses is $250.76 million (Q1 2026) to $409.87 million (Q3 2023).
- Year-over-year, Other Operating Expenses has declined for ten consecutive quarters, with an average decline of 16.0% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2023 (growth of 20.1%), and the weakest in Q4 2025 (a decline of 22.1%).
- Business Quant data shows ARKO's Other Operating Expenses at $271.46 million (Q2 2026), $250.76 million (Q1 2026) and $267.88 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 1,016.23 Bn | 978.93 Bn | 49.13 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 |
| 5 | Dollar General | 29.60 Bn | 24.27 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.32 Bn | 24.31 Bn | 1.24 Bn |
| 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 |
| 9 | Tractor Supply | 18.93 Bn | 18.08 Bn | 1.42 Bn |
| 10 | Arko | 448.70 Mn | -521.73 Mn | 383.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -2.34 Mn |
| Jun 30, 2026 | -2.90 Mn |
| Mar 31, 2026 | -4.04 Mn |
| Dec 31, 2025 | -6.07 Mn |
| Sep 30, 2025 | -2.00 Mn |
| Jun 30, 2025 | 17.26 Mn |
| Mar 31, 2025 | -2.22 Mn |
| Dec 31, 2024 | -3.96 Mn |
| Sep 30, 2024 | -1.16 Mn |
| Jun 30, 2024 | -261,000.00 |
| Mar 31, 2024 | -2.48 Mn |
| Dec 31, 2023 | -1.17 Mn |
| Sep 30, 2023 | -3.89 Mn |
| Jun 30, 2023 | -4.96 Mn |
| Mar 31, 2023 | -2.72 Mn |
| Dec 31, 2022 | -6.55 Mn |
| Sep 30, 2022 | -951,000.00 |
| Jun 30, 2022 | -1.20 Mn |
| Mar 31, 2022 | -1.12 Mn |
| Dec 31, 2021 | 54.82 Mn |
API Access
Arko Other Operating 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=other-operating-expenses&ticker=ARKO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ARKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();