Weis Markets (WMK) Return on Sales [ROS] (2010 - 2026)
Weis Markets' Return on Sales [ROS] was 2.28% in Q2 2026, down 0.20 percentage points from 2.48% a year earlier and down 0.56 percentage points from the prior quarter.
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Analysis
Weis Markets (WMK) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Weis Markets' Return on Sales [ROS] was 2.49% through Jun 27, 2026, unchanged year-over-year; for FY2025, it came in at 2.29%, down 0.35 percentage points from FY2024.
- Return on Sales [ROS] has now declined for five consecutive years, with a five-year change of -1.68 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 2.64% in FY2024 (-0.19 pp), 2.82% in FY2023 (-0.51 pp), 3.33% in FY2022 (-0.14 pp) and 3.47% in FY2021 (-0.49 pp).
- Quarterly Return on Sales [ROS] has moved between 1.66% (Q3 2025) and 4.26% (Q2 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of +0.06 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2024 (a gain of 1.27 percentage points); the worst was Q2 2024 (a drop of 1.23 percentage points).
- Per Business Quant data, WMK's Return on Sales [ROS] in the three quarters before Q2 2026 was 2.84% (Q1 2026), 3.17% (Q4 2025) and 1.66% (Q3 2025).
Peer Set
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 | Weis Markets | 1.83 Bn | 1.03 Bn | 328.40 Mn | 2.28% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.28% |
| Mar 28, 2026 | 2.84% |
| Dec 27, 2025 | 3.17% |
| Sep 27, 2025 | 1.66% |
| Jun 28, 2025 | 2.48% |
| Mar 29, 2025 | 1.81% |
| Dec 28, 2024 | 3.32% |
| Sep 28, 2024 | 2.33% |
| Jun 29, 2024 | 2.64% |
| Mar 30, 2024 | 2.23% |
| Dec 30, 2023 | 2.05% |
| Sep 30, 2023 | 2.56% |
| Jul 1, 2023 | 3.87% |
| Apr 1, 2023 | 2.85% |
| Dec 31, 2022 | 2.54% |
| Sep 24, 2022 | 2.93% |
| Jun 25, 2022 | 4.26% |
| Mar 26, 2022 | 3.75% |
| Dec 25, 2021 | 2.74% |
| Sep 25, 2021 | 3.66% |
API Access
Weis Markets 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=WMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WMK", "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=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();