Village Super Market (VLGEA) Change in Inventory (2010 - 2026)
Village Super Market (VLGEA) reported Change in Inventory of $6.22 million for fiscal Q3 2026 (quarter ended Apr 25, 2026), up 300.3% from $1.55 million a year earlier.
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Analysis
Village Super Market (VLGEA) Change in Inventory (2010 - 2026) Analysis & Trends
Over the twelve months ended Apr 25, 2026, Village Super Market's Change in Inventory came in at $697,000, down 81.6% year-over-year; for FY2025 (ended Jul 26, 2025), it came in at $5.28 million, up 90.2% from FY2024.
- By fiscal year, Change in Inventory came in at $2.78 million in FY2024 (-5.8%), $2.95 million in FY2023 (-39.3%), $4.85 million in FY2022 (+575.8%) and $718,000 in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly Change in Inventory in data going back to fiscal Q1 2011.
- Year over year, Change in Inventory gained in two of the last four quarters, with growth averaging 69.8%.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -$8.71 million (Q2 2026), $2.96 million (Q1 2026) and $222,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | -1.17 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 457.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 60.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | -59.19 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 577,000.00 |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | -16.10 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 26.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | -69.86 Mn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | 6.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jul 31, 2021 | -2.12 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();