Arko (ARKO) Operating Expenses (2020 - 2026)
Arko's Operating Expenses was $2.31 billion in Q2 2026, up 18.1% from $1.96 billion a year earlier and up 31.6% from the prior quarter.
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Analysis
Arko (ARKO) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arko's Operating Expenses was $7.82 billion through Jun 30, 2026, down 2.3% year-over-year; for FY2025, it was $7.55 billion, down 12.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $8.63 billion in FY2024 (-7.0%), $9.28 billion in FY2023 (+3.5%), $8.97 billion in FY2022 (+23.3%) and $7.27 billion in FY2021 (+85.5%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2024.
- Compared with a year earlier, Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 7.5%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 113.7%); the worst was Q2 2025 (a decline of 16.4%).
- Per Business Quant data, ARKO's Operating Expenses in the three quarters before Q2 2026 was $1.76 billion (Q1 2026), $1.77 billion (Q4 2025) and $1.98 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Arko | 477.91 Mn | -611.13 Mn | - | 2.31 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.31 Bn |
| Mar 31, 2026 | 1.76 Bn |
| Dec 31, 2025 | 1.77 Bn |
| Sep 30, 2025 | 1.98 Bn |
| Jun 30, 2025 | 1.96 Bn |
| Mar 31, 2025 | 1.84 Bn |
| Dec 31, 2024 | 1.97 Bn |
| Sep 30, 2024 | 2.24 Bn |
| Jun 30, 2024 | 2.34 Bn |
| Mar 31, 2024 | 2.07 Bn |
| Dec 31, 2023 | 2.21 Bn |
| Sep 30, 2023 | 2.57 Bn |
| Jun 30, 2023 | 2.42 Bn |
| Mar 31, 2023 | 2.08 Bn |
| Dec 31, 2022 | 2.14 Bn |
| Sep 30, 2022 | 2.38 Bn |
| Jun 30, 2022 | 2.49 Bn |
| Mar 31, 2022 | 1.95 Bn |
| Dec 31, 2021 | 1.96 Bn |
| Sep 30, 2021 | 1.98 Bn |
API Access
Arko 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=operating-expenses&ticker=ARKO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ARKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();