Arko (ARKO) Return on Sales [ROS] (2020 - 2026)
Arko (ARKO) posted Return on Sales [ROS] of 1.29% for Q2 2026, down 1.54 percentage points from 2.84% a year earlier but up 0.73 percentage points from the prior quarter.
Arko (ARKO) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Arko was 1.23%, down 0.01 percentage points year-over-year; for FY2025, it came in at 1.34%, up 0.26 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -0.66 percentage points (FY2020 to FY2025).
- In prior years, Arko's Return on Sales [ROS] was 1.08% in FY2024 (-0.18 pp), 1.25% in FY2023 (-0.57 pp), 1.83% in FY2022 (-0.09 pp) and 1.92% in FY2021 (-0.09 pp).
- Quarterly Return on Sales [ROS] has run from a low of -0.64% in Q1 2025 to a high of 2.84% in Q2 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.06 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 1.21 percentage points; the weakest was Q2 2026, with a drop of 1.54 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 0.57% (Q1 2026), 1.20% (Q4 2025) and 1.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 3.99% |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 4.44% |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 2.80% |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 10.29% |
| 10 | Arko | 467.81 Mn | -621.23 Mn | - | 1.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.29% |
| Mar 31, 2026 | 0.57% |
| Dec 31, 2025 | 1.20% |
| Sep 30, 2025 | 1.78% |
| Jun 30, 2025 | 2.84% |
| Mar 31, 2025 | -0.64% |
| Dec 31, 2024 | 0.72% |
| Sep 30, 2024 | 1.82% |
| Jun 30, 2024 | 1.80% |
| Mar 31, 2024 | -0.23% |
| Dec 31, 2023 | 1.13% |
| Sep 30, 2023 | 1.68% |
| Jun 30, 2023 | 1.61% |
| Mar 31, 2023 | 0.43% |
| Dec 31, 2022 | 1.55% |
| Sep 30, 2022 | 2.68% |
| Jun 30, 2022 | 1.90% |
| Mar 31, 2022 | 0.98% |
| Dec 31, 2021 | 1.43% |
| Sep 30, 2021 | 2.69% |
Arko Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ARKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ARKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();