Village Super Market (VLGEA) EBIT (2010 - 2014)
Village Super Market (VLGEA) posted EBIT of $72.07 million for FY2025 (year ended Jul 26, 2025), up 16.1% from $62.05 million in FY2024.
Analysis
Village Super Market (VLGEA) EBIT (2010 - 2014) Analysis & Trends
Since FY2010, Village Super Market has reported EBIT for 16 fiscal years.
- Annual EBIT shows a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual EBIT in data going back to FY2010.
- Business Quant data shows VLGEA's EBIT at $62.05 million in FY2024 (-5.3%), $65.55 million in FY2023 (+68.3%), $38.95 million in FY2022 (+33.6%) and $29.16 million in FY2021 (-3.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 9.38 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 2.82 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 983.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 971.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 769.16 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 485.08 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 690.10 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 443.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 467.12 Mn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2014 | 11.33 Mn |
| Apr 26, 2014 | 6.40 Mn |
| Jan 25, 2014 | 5.86 Mn |
| Oct 26, 2013 | 6.25 Mn |
| Jul 27, 2013 | 11.11 Mn |
| Apr 27, 2013 | 8.15 Mn |
| Jan 26, 2013 | 14.45 Mn |
| Oct 27, 2012 | 10.47 Mn |
| Jul 28, 2012 | 15.47 Mn |
| Apr 28, 2012 | 11.61 Mn |
| Jan 28, 2012 | 16.27 Mn |
| Oct 27, 2011 | 12.20 Mn |
| Jul 30, 2011 | 15.67 Mn |
| Apr 30, 2011 | 3.38 Mn |
| Jan 29, 2011 | 11.95 Mn |
| Oct 30, 2010 | 7.31 Mn |
API Access
Village Super Market EBIT 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=ebit&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();