Village Super Market (VLGEA) EBITDA (2010 - 2014)
Village Super Market (VLGEA) recorded EBITDA of $108.72 million in FY2025 (year ended Jul 26, 2025), up 11.5% from $97.51 million in FY2024.
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Analysis
Village Super Market (VLGEA) EBITDA (2010 - 2014) Analysis & Trends
Starting with FY2010, Village Super Market's EBITDA history includes 16 fiscal years.
- Annual EBITDA has a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- The FY2025 figure is the highest annual EBITDA in data going back to FY2010.
- Per Business Quant data, VLGEA's EBITDA was $97.51 million in FY2024 (-3.7%), $101.26 million in FY2023 (+37.5%), $73.65 million in FY2022 (+13.5%) and $64.86 million in FY2021 (+4.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 3.41 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.24 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 601.08 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2014 | 17.56 Mn |
| Apr 26, 2014 | 11.91 Mn |
| Jan 25, 2014 | 11.27 Mn |
| Oct 26, 2013 | 11.35 Mn |
| Jul 27, 2013 | 46.47 Mn |
| Apr 27, 2013 | -16.80 Mn |
| Jan 26, 2013 | 19.48 Mn |
| Oct 27, 2012 | 15.38 Mn |
| Jul 28, 2012 | 10.33 Mn |
| Apr 28, 2012 | 16.59 Mn |
| Jan 28, 2012 | 21.13 Mn |
| Oct 27, 2011 | 16.98 Mn |
| Jul 30, 2011 | -16.71 Mn |
| Apr 30, 2011 | 8.02 Mn |
| Jan 29, 2011 | 16.54 Mn |
| Oct 30, 2010 | 11.85 Mn |
API Access
Village Super Market EBITDA 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=ebitda&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();