Village Super Market (VLGEA) Retained Earnings (2011 - 2026)
Village Super Market's Retained Earnings was $452.53 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), up 10.0% from $411.5 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Village Super Market (VLGEA) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Retained Earnings at Village Super Market came in at $423.69 million, up 11.3% from FY2024.
- Retained Earnings has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In earlier fiscal years, Retained Earnings was $380.62 million in FY2024 (+10.8%), $343.5 million in FY2023 (+11.9%), $306.97 million in FY2022 (+4.7%) and $293.19 million in FY2021 (+2.4%).
- The fiscal Q3 2026 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q4 2011.
- Compared with a year earlier, Retained Earnings has increased for 47 straight quarters, with growth averaging 10.9% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 2.4% (fiscal Q4 2021) and 12.0% (fiscal Q2 2024) over the last five years.
- Per Business Quant data, VLGEA's Retained Earnings in the three fiscal quarters before Q3 2026 was $446.91 million (Q2 2026), $432.37 million (Q1 2026) and $423.69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 26.48 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | 452.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 452.53 Mn |
| Jan 24, 2026 | 446.91 Mn |
| Oct 25, 2025 | 432.37 Mn |
| Jul 26, 2025 | 423.69 Mn |
| Apr 26, 2025 | 411.50 Mn |
| Jan 25, 2025 | 403.66 Mn |
| Oct 26, 2024 | 390.10 Mn |
| Jul 27, 2024 | 380.62 Mn |
| Apr 27, 2024 | 368.53 Mn |
| Jan 27, 2024 | 362.86 Mn |
| Oct 28, 2023 | 351.73 Mn |
| Jul 29, 2023 | 343.50 Mn |
| Apr 29, 2023 | 331.55 Mn |
| Jan 28, 2023 | 323.87 Mn |
| Oct 29, 2022 | 314.80 Mn |
| Jul 30, 2022 | 306.97 Mn |
| Apr 30, 2022 | 297.63 Mn |
| Jan 29, 2022 | 304.12 Mn |
| Oct 30, 2021 | 297.25 Mn |
| Jul 31, 2021 | 293.19 Mn |
API Access
Village Super Market Retained Earnings 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=retained-earnings&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();