Village Super Market (VLGEA) Interest Coverage Ratio (2010 - 2014)
Village Super Market's (VLGEA) Interest Coverage Ratio stood at 19.21 in FY2025 (year ended Jul 26, 2025), up 28.0% from 15.01 in FY2024.
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Analysis
Village Super Market (VLGEA) Interest Coverage Ratio (2010 - 2014) Analysis & Trends
Starting with FY2010, Village Super Market's Interest Coverage Ratio history includes 16 fiscal years.
- The FY2025 figure is the highest annual Interest Coverage Ratio in data going back to FY2010.
- Per Business Quant data, VLGEA's Interest Coverage Ratio was 15.01 in FY2024 (-3.4%), 15.53 in FY2023 (+55.8%), 9.97 in FY2022 (+34.8%) and 7.40 in FY2021 (-36.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 68.49 |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 87.97 |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 323.67 |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 21.99 |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 5.75 |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 27.31 |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2014 | 12.19 |
| Apr 26, 2014 | 6.98 |
| Jan 25, 2014 | 5.76 |
| Oct 26, 2013 | 8.44 |
| Jul 27, 2013 | 12.55 |
| Apr 27, 2013 | 8.63 |
| Jan 26, 2013 | 16.64 |
| Oct 27, 2012 | 9.75 |
| Jul 28, 2012 | 14.35 |
| Apr 28, 2012 | 10.78 |
| Jan 28, 2012 | 15.13 |
| Oct 27, 2011 | 10.31 |
| Jul 30, 2011 | 14.62 |
| Apr 30, 2011 | 3.15 |
| Jan 29, 2011 | 11.18 |
| Oct 30, 2010 | 6.85 |
API Access
Village Super Market Interest Coverage Ratio 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=interest-coverage-ratio&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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=interest-coverage-ratio&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();