Village Super Market (VLGEA) Treasury Shares (2011 - 2026)
Village Super Market (VLGEA) posted Treasury Shares of $28.63 million for fiscal Q3 2026 (quarter ended Apr 25, 2026), up 39.9% from $20.47 million a year earlier and up 39.9% from the prior quarter.
Village Super Market (VLGEA) Treasury Shares (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Village Super Market's Treasury Shares came in at $20.47 million, down 0.2% from FY2024.
- Annual Treasury Shares shows a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior fiscal years, Village Super Market's Treasury Shares was $20.51 million in FY2024 (+11.9%), $18.33 million in FY2023 (+25.6%), $14.59 million in FY2022 (+4.7%) and $13.94 million in FY2021 (unchanged).
- The fiscal Q3 2026 figure stands as the highest quarterly Treasury Shares in data going back to fiscal Q4 2011.
- On a year-over-year basis, Treasury Shares increased in five of the last eight quarters, with growth averaging 8.2%.
- The strongest year-over-year quarter for Treasury Shares in the past five years was fiscal Q3 2026, with growth of 39.9%; the weakest was fiscal Q4 2025, with a decline of 0.2%.
- According to Business Quant data, Treasury Shares for the three prior fiscal quarters was $20.47 million (Q2 2026), $20.47 million (Q1 2026) and $20.47 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 286.63 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.32 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 41.90 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 370.17 Mn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | 1.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 1.19 Mn |
| Jan 24, 2026 | 997,000.00 |
| Oct 25, 2025 | 997,000.00 |
| Jul 26, 2025 | 997,000.00 |
| Apr 26, 2025 | 997,000.00 |
| Jan 25, 2025 | 998,000.00 |
| Oct 26, 2024 | 998,000.00 |
| Jul 27, 2024 | 999,000.00 |
| Apr 27, 2024 | 977,000.00 |
| Jan 27, 2024 | 968,000.00 |
| Oct 28, 2023 | 944,000.00 |
| Jul 29, 2023 | 912,000.00 |
| Apr 29, 2023 | 914,000.00 |
| Jan 28, 2023 | 752,000.00 |
| Oct 29, 2022 | 752,000.00 |
| Jul 30, 2022 | 752,000.00 |
| Apr 30, 2022 | 752,000.00 |
| Jan 29, 2022 | 730,000.00 |
| Oct 30, 2021 | 730,000.00 |
| Jul 31, 2021 | 726,000.00 |
Village Super Market Treasury Shares 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=treasury-shares&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();