Village Super Market (VLGEA) Return on Sales [ROS] (2010 - 2014)
Village Super Market (VLGEA) recorded Return on Sales [ROS] of 3.11% in FY2025 (year ended Jul 26, 2025), up 0.33 percentage points from 2.77% in FY2024.
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Analysis
Village Super Market (VLGEA) Return on Sales [ROS] (2010 - 2014) Analysis & Trends
Starting with FY2010, Village Super Market's Return on Sales [ROS] history includes 16 fiscal years.
- Annual Return on Sales [ROS] has a five-year change of +1.43 percentage points (FY2020 to FY2025).
- The FY2025 figure is the highest annual Return on Sales [ROS] since FY2012.
- Per Business Quant data, VLGEA's Return on Sales [ROS] was 2.77% in FY2024 (-0.25 pp), 3.03% in FY2023 (+1.14 pp), 1.89% in FY2022 (+0.45 pp) and 1.44% in FY2021 (-0.24 pp).
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 | Village Super Market | 663.46 Mn | 146.29 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2014 | 2.85% |
| Apr 26, 2014 | 1.72% |
| Jan 25, 2014 | 1.49% |
| Oct 26, 2013 | 1.75% |
| Jul 27, 2013 | 2.95% |
| Apr 27, 2013 | 2.27% |
| Jan 26, 2013 | 3.78% |
| Oct 27, 2012 | 2.92% |
| Jul 28, 2012 | 4.18% |
| Apr 28, 2012 | 3.34% |
| Jan 28, 2012 | 4.49% |
| Oct 27, 2011 | 3.56% |
| Jul 30, 2011 | 4.54% |
| Apr 30, 2011 | 1.07% |
| Jan 29, 2011 | 3.62% |
| Oct 30, 2010 | 2.38% |
API Access
Village Super Market 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=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VLGEA", "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=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();