Village Super Market (VLGEA) Times Interest Earned (2010 - 2014)
Village Super Market's Times Interest Earned came in at 19.02 for FY2026 (year ended Jul 25, 2026), down 1.0% from 19.21 in FY2025.
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Analysis
Village Super Market (VLGEA) Times Interest Earned (2010 - 2014) Analysis & Trends
Going back to FY2010, Village Super Market's Times Interest Earned data covers 17 fiscal years.
- The five-year range for annual Times Interest Earned is 9.97 (FY2022) to 19.21 (FY2025).
- Per Business Quant, earlier fiscal years put Times Interest Earned at 19.21 in FY2025 (+28.0%), 15.01 in FY2024 (-3.4%), 15.53 in FY2023 (+55.8%) and 9.97 in FY2022 (+34.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.76 Bn | 918.19 Bn | 49.13 Bn | 68.49 |
| 2 | Costco Wholesale | 449.84 Bn | 373.12 Bn | 12.19 Bn | 84.47 |
| 3 | Kroger | 41.16 Bn | 27.31 Bn | 7.86 Bn | 323.67 |
| 4 | Sysco | 39.48 Bn | 33.73 Bn | 4.13 Bn | - |
| 5 | Dollar General | 29.43 Bn | 24.11 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 26.11 Bn | 24.11 Bn | 1.24 Bn | 21.99 |
| 7 | Dollar Tree | 23.43 Bn | 20.05 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.31 Bn | 22.11 Bn | 1.92 Bn | 5.75 |
| 9 | Tractor Supply | 17.96 Bn | 17.12 Bn | 1.68 Bn | 27.31 |
| 10 | Village Super Market | 645.72 Mn | 108.41 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 Times Interest Earned 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=times-interest-earned&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();