Village Super Market (VLGEA) Common Equity (2011 - 2026)
Village Super Market's Common Equity came in at $514.9 million for fiscal Q3 2026 (quarter ended Apr 25, 2026), up 7.3% from $479.68 million a year earlier but down 0.3% from the prior quarter.
Village Super Market (VLGEA) Common Equity (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Village Super Market's Common Equity was $491.96 million, up 9.9% from FY2024.
- Common Equity has increased in each of the last 11 fiscal years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Going back by fiscal year, Common Equity was $447.56 million in FY2024 (+9.1%), $410.17 million in FY2023 (+10.2%), $372.11 million in FY2022 (+9.0%) and $341.47 million in FY2021 (+2.8%).
- The five-year range for quarterly Common Equity is $341.47 million (fiscal Q4 2021) to $516.67 million (fiscal Q2 2026).
- Year-over-year, Common Equity has increased for 46 consecutive quarters, with growth averaging 9.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Common Equity ranged from 2.8% (fiscal Q4 2021) to 10.4% (fiscal Q1 2023).
- Business Quant data shows VLGEA's Common Equity at $516.67 million (Q2 2026), $501.09 million (Q1 2026) and $491.96 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 104.51 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 33.51 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 2.67 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 5.85 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 9.29 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 3.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 4.28 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 2.63 Bn |
| 10 | Village Super Market | 657.83 Mn | 140.66 Mn | - | 514.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 514.90 Mn |
| Jan 24, 2026 | 516.67 Mn |
| Oct 25, 2025 | 501.09 Mn |
| Jul 26, 2025 | 491.96 Mn |
| Apr 26, 2025 | 479.68 Mn |
| Jan 25, 2025 | 471.97 Mn |
| Oct 26, 2024 | 457.46 Mn |
| Jul 27, 2024 | 447.56 Mn |
| Apr 27, 2024 | 436.21 Mn |
| Jan 27, 2024 | 429.15 Mn |
| Oct 28, 2023 | 419.25 Mn |
| Jul 29, 2023 | 410.17 Mn |
| Apr 29, 2023 | 395.75 Mn |
| Jan 28, 2023 | 391.59 Mn |
| Oct 29, 2022 | 383.22 Mn |
| Jul 30, 2022 | 372.11 Mn |
| Apr 30, 2022 | 361.58 Mn |
| Jan 29, 2022 | 355.26 Mn |
| Oct 30, 2021 | 346.97 Mn |
| Jul 31, 2021 | 341.47 Mn |
Village Super Market Common Equity 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=common-equity&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-equity", "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=common-equity&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();