Village Super Market (VLGEA) Pension (2014 - 2026)
Village Super Market (VLGEA) posted Pension of $3.05 million for fiscal Q3 2026 (quarter ended Apr 25, 2026), up 0.6% from $3.03 million a year earlier and up 1.8% from the prior quarter.
Village Super Market (VLGEA) Pension (2014 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Village Super Market's Pension came in at $3.28 million, down 35.8% from FY2024.
- Annual Pension shows a five-year compound annual growth rate of -11.8% (FY2020 to FY2025).
- In prior fiscal years, Village Super Market's Pension was $5.11 million in FY2024 (+4.5%), $4.89 million in FY2023 (+7.1%), $4.57 million in FY2022 (-55.1%) and $10.18 million in FY2021 (+65.1%).
- Quarterly Pension has run from a low of $2.92 million in fiscal Q2 2025 to a high of $10.3 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Pension increased in four of the last eight quarters, with an average decline of 18.6%.
- The strongest year-over-year quarter for Pension in the past five years was fiscal Q2 2022, with growth of 67.4%; the weakest was fiscal Q4 2022, with a decline of 55.1%.
- According to Business Quant data, Pension for the three prior fiscal quarters was $3 million (Q2 2026), $3.1 million (Q1 2026) and $3.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn |
| 10 | Village Super Market | 657.83 Mn | 140.66 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 3.05 Mn |
| Jan 24, 2026 | 3.00 Mn |
| Oct 25, 2025 | 3.10 Mn |
| Jul 26, 2025 | 3.28 Mn |
| Apr 26, 2025 | 3.03 Mn |
| Jan 25, 2025 | 2.92 Mn |
| Oct 26, 2024 | 5.23 Mn |
| Jul 27, 2024 | 5.11 Mn |
| Apr 27, 2024 | 5.23 Mn |
| Jan 27, 2024 | 5.12 Mn |
| Oct 28, 2023 | 5.01 Mn |
| Jul 29, 2023 | 4.89 Mn |
| Apr 29, 2023 | 4.82 Mn |
| Jan 28, 2023 | 4.74 Mn |
| Oct 29, 2022 | 4.65 Mn |
| Jul 30, 2022 | 4.57 Mn |
| Apr 30, 2022 | 6.52 Mn |
| Jan 29, 2022 | 10.30 Mn |
| Oct 30, 2021 | 10.24 Mn |
| Jul 31, 2021 | 10.18 Mn |
Village Super Market Pension 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=pension&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();