Village Super Market (VLGEA) Return on Capital Employed [ROCE] (2012 - 2014)
Village Super Market's Return on Capital Employed [ROCE] came in at 8.88% for FY2025 (year ended Jul 26, 2025), up 1.13 percentage points from 7.75% in FY2024.
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Analysis
Village Super Market (VLGEA) Return on Capital Employed [ROCE] (2012 - 2014) Analysis & Trends
Going back to FY2012, Village Super Market's Return on Capital Employed [ROCE] data covers 14 fiscal years.
- Return on Capital Employed [ROCE] carries a five-year change of +3.34 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Return on Capital Employed [ROCE] since FY2019.
- Per Business Quant, earlier fiscal years put Return on Capital Employed [ROCE] at 7.75% in FY2024 (-0.79 pp), 8.54% in FY2023 (+3.34 pp), 5.20% in FY2022 (+1.31 pp) and 3.89% in FY2021 (-1.66 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 18.33% |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 26.16% |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 17.51% |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 4.92% |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 9.89% |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 20.28% |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 20.72% |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 12.21% |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 15.37% |
| 10 | Village Super Market | 663.46 Mn | 146.29 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2014 | 9.84% |
| Apr 26, 2014 | 9.51% |
| Jan 25, 2014 | 10.28% |
| Oct 26, 2013 | 13.08% |
| Jul 27, 2013 | 14.25% |
| Apr 27, 2013 | 15.37% |
| Jan 26, 2013 | 16.75% |
| Oct 27, 2012 | 17.30% |
| Jul 28, 2012 | 18.40% |
| Apr 28, 2012 | 18.57% |
API Access
Village Super Market Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();