Village Super Market (VLGEA) Depreciation & Amortization - Total (2012 - 2014)
Village Super Market (VLGEA) reported Depreciation & Amortization - Total 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 & Amortization - Total (2012 - 2014) Analysis & Trends
Dating back to FY2022, Village Super Market's Depreciation & Amortization - Total record includes 4 fiscal years.
- Depreciation & Amortization - Total 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 & Amortization - Total 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. & Amort. (Tot) (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 | - |
| 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 |
| Apr 28, 2012 | 4.98 Mn |
API Access
Village Super Market Depreciation & Amortization - Total 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-amortization-total&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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-amortization-total&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();