Village Super Market (VLGEA) Cash from Operations (2010 - 2026)
Village Super Market's Cash from Operations was -$245,000 in fiscal Q3 2026 (quarter ended Apr 25, 2026), compared with $10.64 million a year earlier.
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Analysis
Village Super Market (VLGEA) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Village Super Market's Cash from Operations was $100.16 million through Apr 25, 2026, up 6.1% year-over-year; for FY2025 (ended Jul 26, 2025), it was $93.22 million, up 15.3% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- In earlier fiscal years, Cash from Operations was $80.85 million in FY2024 (-22.6%), $104.51 million in FY2023 (+31.3%), $79.63 million in FY2022 (+51.1%) and $52.69 million in FY2021 (-37.2%).
- The fiscal Q3 2026 figure marks the lowest quarterly Cash from Operations since fiscal Q1 2021.
- Compared with a year earlier, Cash from Operations was higher in four of the last seven quarters, with growth averaging 8.3%.
- The best year-over-year quarter for Cash from Operations over five years was fiscal Q1 2023 (growth of 179.2%); the worst was fiscal Q3 2024 (a decline of 52.9%).
- Per Business Quant data, VLGEA's Cash from Operations in the three fiscal quarters before Q3 2026 was $59.12 million (Q2 2026), $19.66 million (Q1 2026) and $21.63 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 14.97 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 3.45 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.18 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 780.52 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 384.07 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 921.50 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 431.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 562.02 Mn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | -245,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | -245,000.00 |
| Jan 24, 2026 | 59.12 Mn |
| Oct 25, 2025 | 19.66 Mn |
| Jul 26, 2025 | 21.63 Mn |
| Apr 26, 2025 | 10.64 Mn |
| Jan 25, 2025 | 40.78 Mn |
| Oct 26, 2024 | 20.18 Mn |
| Jul 27, 2024 | 22.81 Mn |
| Apr 27, 2024 | 9.37 Mn |
| Jan 27, 2024 | 30.30 Mn |
| Oct 28, 2023 | 18.38 Mn |
| Jul 29, 2023 | 36.27 Mn |
| Apr 29, 2023 | 19.89 Mn |
| Jan 28, 2023 | 26.34 Mn |
| Oct 29, 2022 | 22.02 Mn |
| Jul 30, 2022 | 27.92 Mn |
| Apr 30, 2022 | 11.43 Mn |
| Jan 29, 2022 | 32.39 Mn |
| Oct 30, 2021 | 7.89 Mn |
| Jul 31, 2021 | 19.70 Mn |
API Access
Village Super Market Cash from Operations 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=cash-from-operations&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();