Village Super Market (VLGEA) EPS (Diluted) (2010 - 2026)
Village Super Market's EPS (Diluted) came in at $0.48 for fiscal Q3 2026 (quarter ended Apr 25, 2026), down 20.2% from $0.61 a year earlier and down 50.1% from the prior quarter.
Village Super Market (VLGEA) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Apr 25, 2026, Village Super Market reported EPS (Diluted) of $2.93, down 4.0% year-over-year; for FY2025 (ended Jul 26, 2025), it came in at $3.05, up 12.1% from FY2024.
- EPS (Diluted) has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by fiscal year, EPS (Diluted) was $2.73 in FY2024 (+1.5%), $2.69 in FY2023 (+84.8%), $1.45 in FY2022 (+34.1%) and $1.08 in FY2021 (-20.1%).
- The fiscal Q3 2026 figure represents the lowest quarterly EPS (Diluted) since fiscal Q3 2022.
- Year-over-year, EPS (Diluted) increased in six of the last eight quarters, with growth averaging 4.3%.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q2 2022 (growth of 122.1%), and the weakest in fiscal Q3 2026 (a decline of 20.2%).
- Business Quant data shows VLGEA's EPS (Diluted) at $0.97 (Q2 2026), $0.65 (Q1 2026) and $0.84 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 0.80 |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 4.93 |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 1.15 |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 1.05 |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 2.48 |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 7.37 |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 2.70 |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 1.24 |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 0.69 |
| 10 | Village Super Market | 657.83 Mn | 140.66 Mn | - | 0.48 |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 0.48 |
| Jan 24, 2026 | 0.97 |
| Oct 25, 2025 | 0.65 |
| Jul 26, 2025 | 0.84 |
| Apr 26, 2025 | 0.61 |
| Jan 25, 2025 | 0.92 |
| Oct 26, 2024 | 0.69 |
| Jul 27, 2024 | 0.83 |
| Apr 27, 2024 | 0.48 |
| Jan 27, 2024 | 0.78 |
| Oct 28, 2023 | 0.62 |
| Jul 29, 2023 | 0.83 |
| Apr 29, 2023 | 0.60 |
| Jan 28, 2023 | 0.67 |
| Oct 29, 2022 | 0.60 |
| Jul 30, 2022 | 0.68 |
| Apr 30, 2022 | -0.17 |
| Jan 29, 2022 | 0.55 |
| Oct 30, 2021 | 0.40 |
| Jul 31, 2021 | 0.52 |
Village Super Market EPS (Diluted) 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=eps-diluted&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();