Village Super Market (VLGEA) Change in Inventory (2010 - 2026)
Village Super Market (VLGEA) reported Change in Inventory of $1.24 million for fiscal Q4 2026 (quarter ended Jul 25, 2026), up 459.9% from $222,000 a year earlier but down 80.0% from the prior quarter.
Powered by 
Analysis
Village Super Market (VLGEA) Change in Inventory (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 25, 2026), Village Super Market posted Change in Inventory of $1.72 million, down 67.4% from FY2025.
- Change in Inventory has a five-year compound annual growth rate of 19.1% (FY2021 to FY2026).
- By fiscal year, Change in Inventory came in at $5.28 million in FY2025 (+90.2%), $2.78 million in FY2024 (-5.8%), $2.95 million in FY2023 (-39.3%) and $4.85 million in FY2022 (+575.8%).
- Five-year quarterly Change in Inventory spans a low of -$8.71 million in fiscal Q2 2026 and a high of $6.22 million in fiscal Q3 2026.
- Year over year, Change in Inventory gained in three of the last five quarters, with growth averaging 147.9%.
- The high point for year-over-year Change in Inventory in five years was fiscal Q4 2026 (growth of 459.9%); the low point was fiscal Q1 2025 (a decline of 36.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $6.22 million (Q3 2026), -$8.71 million (Q2 2026) and $2.96 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 953.45 Bn | 909.88 Bn | 49.13 Bn | -1.17 Bn |
| 2 | Costco Wholesale | 448.60 Bn | 371.88 Bn | 12.19 Bn | -87.00 Mn |
| 3 | Kroger | 40.03 Bn | 26.18 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.58 Bn | 33.82 Bn | 4.13 Bn | 60.00 Mn |
| 5 | Dollar General | 29.97 Bn | 24.65 Bn | 3.68 Bn | -59.19 Mn |
| 6 | Caseys General Stores | 25.90 Bn | 23.90 Bn | 1.24 Bn | 577,000.00 |
| 7 | Dollar Tree | 24.35 Bn | 20.97 Bn | 2.10 Bn | -16.10 Mn |
| 8 | US Foods Holding | 22.37 Bn | 22.16 Bn | 1.92 Bn | 26.00 Mn |
| 9 | Tractor Supply | 17.82 Bn | 16.99 Bn | 1.68 Bn | -69.86 Mn |
| 10 | Village Super Market | 642.41 Mn | 105.10 Mn | - | 1.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 1.24 Mn |
| Apr 25, 2026 | 6.22 Mn |
| Jan 24, 2026 | -8.71 Mn |
| Oct 25, 2025 | 2.96 Mn |
| Jul 26, 2025 | 222,000.00 |
| Apr 26, 2025 | 1.55 Mn |
| Jan 25, 2025 | 1.31 Mn |
| Oct 26, 2024 | 2.19 Mn |
| Jul 27, 2024 | -1.27 Mn |
| Apr 27, 2024 | 1.94 Mn |
| Jan 27, 2024 | -1.34 Mn |
| Oct 28, 2023 | 3.44 Mn |
| Jul 29, 2023 | -760,000.00 |
| Apr 29, 2023 | -1.78 Mn |
| Jan 28, 2023 | 594,000.00 |
| Oct 29, 2022 | 4.89 Mn |
| Jul 30, 2022 | -406,000.00 |
| Apr 30, 2022 | 3.12 Mn |
| Jan 29, 2022 | -1.50 Mn |
| Oct 30, 2021 | 3.64 Mn |
API Access
Village Super Market Change in Inventory 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=change-in-inventory&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();