Village Super Market (VLGEA) Depreciation and Depletion (2012 - 2014)
Village Super Market (VLGEA) reported Depreciation and Depletion of $2.26 million for FY2025 (year ended Jul 26, 2025), up 12.1% from $2.01 million in FY2024.
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Analysis
Village Super Market (VLGEA) Depreciation and Depletion (2012 - 2014) Analysis & Trends
Dating back to FY2022, Village Super Market's Depreciation and Depletion record includes 4 fiscal years.
- Depreciation and Depletion has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 12.5% (FY2022 to FY2025).
- According to Business Quant data, Depreciation and Depletion came in at $2.01 million in FY2024 (+17.7%), $1.71 million in FY2023 (+8.0%) and $1.58 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 104.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | - |
| 10 | Village Super Market | 663.46 Mn | 146.29 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 26, 2014 | 5.52 Mn |
| Jan 25, 2014 | 5.42 Mn |
| Oct 26, 2013 | 5.11 Mn |
| Apr 27, 2013 | 5.06 Mn |
| Jan 26, 2013 | 5.03 Mn |
| Oct 27, 2012 | 4.91 Mn |
API Access
Village Super Market Depreciation and Depletion 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=depreciation-and-depletion&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();