Village Super Market (VLGEA) Shares Outstanding (2010 - 2026)
Village Super Market's Shares Outstanding was 14.42 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), up 0.8% from 14.32 million a year earlier and up 0.7% from the prior quarter.
Powered by 
Analysis
Village Super Market (VLGEA) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025 (ended Jul 26, 2025), Shares Outstanding at Village Super Market came in at 14.31 million, unchanged from FY2024.
- Shares Outstanding shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier fiscal years, Shares Outstanding was 14.31 million in FY2024 (+0.6%), 14.23 million in FY2023 (+0.5%), 14.16 million in FY2022 (+0.1%) and 14.15 million in FY2021 (+0.4%).
- The fiscal Q3 2026 figure marks the highest quarterly Shares Outstanding in data going back to fiscal Q1 2011.
- Compared with a year earlier, Shares Outstanding has increased for three straight quarters, with growth averaging 0.2% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q1 2024 (growth of 1.4%); the worst was fiscal Q1 2025 (a decline of 0.3%).
- Per Business Quant data, VLGEA's Shares Outstanding in the three fiscal quarters before Q3 2026 was 14.33 million (Q2 2026), 14.33 million (Q1 2026) and 14.31 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 7.95 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 443.92 Mn |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 479.12 Mn |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | 606.00 Mn |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 220.61 Mn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | 36.97 Mn |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 190.60 Mn |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 219.00 Mn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 523.73 Mn |
| 10 | Village Super Market | 656.68 Mn | 139.51 Mn | - | 14.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 14.42 Mn |
| Jan 24, 2026 | 14.33 Mn |
| Oct 25, 2025 | 14.33 Mn |
| Jul 26, 2025 | 14.31 Mn |
| Apr 26, 2025 | 14.32 Mn |
| Jan 25, 2025 | 14.31 Mn |
| Oct 26, 2024 | 14.31 Mn |
| Jul 27, 2024 | 14.31 Mn |
| Apr 27, 2024 | 14.30 Mn |
| Jan 27, 2024 | 14.30 Mn |
| Oct 28, 2023 | 14.35 Mn |
| Jul 29, 2023 | 14.23 Mn |
| Apr 29, 2023 | 14.16 Mn |
| Jan 28, 2023 | 14.16 Mn |
| Oct 29, 2022 | 14.16 Mn |
| Jul 30, 2022 | 14.16 Mn |
| Apr 30, 2022 | 14.17 Mn |
| Jan 29, 2022 | 14.17 Mn |
| Oct 30, 2021 | 14.16 Mn |
| Jul 31, 2021 | 14.15 Mn |
API Access
Village Super Market Shares Outstanding 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=shares-outstanding&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();