Village Super Market (VLGEA) Free Cash Flow (2010 - 2026)
Village Super Market's Free Cash Flow was -$16.29 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), compared with -$10.52 million a year earlier.
Village Super Market (VLGEA) Free Cash Flow (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Village Super Market's Free Cash Flow was $56.35 million through Apr 25, 2026, up 53.6% year-over-year; for FY2025 (ended Jul 26, 2025), it was $34.46 million, up 94.3% from FY2024.
- Free Cash Flow shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In earlier fiscal years, Free Cash Flow was $17.74 million in FY2024 (-69.5%), $58.11 million in FY2023 (+59.8%), $36.36 million in FY2022 (+32.4%) and $27.46 million in FY2021 (-6.8%).
- The fiscal Q3 2026 figure marks the lowest quarterly Free Cash Flow since fiscal Q1 2020.
- Compared with a year earlier, Free Cash Flow was higher in four of the last six quarters, with growth averaging 53.1%.
- The best year-over-year quarter for Free Cash Flow over five years was fiscal Q2 2025 (growth of 168.5%); the worst was fiscal Q1 2024 (a decline of 62.3%).
- Per Business Quant data, VLGEA's Free Cash Flow in the three fiscal quarters before Q3 2026 was $50.36 million (Q2 2026), $10.71 million (Q1 2026) and $11.57 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 7.48 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 2.04 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 936.00 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 373.67 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 189.68 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 675.20 Mn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 355.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 328.91 Mn |
| 10 | Village Super Market | 663.46 Mn | 146.29 Mn | - | -16.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | -16.29 Mn |
| Jan 24, 2026 | 50.36 Mn |
| Oct 25, 2025 | 10.71 Mn |
| Jul 26, 2025 | 11.57 Mn |
| Apr 26, 2025 | -10.52 Mn |
| Jan 25, 2025 | 24.93 Mn |
| Oct 26, 2024 | 8.47 Mn |
| Jul 27, 2024 | 13.80 Mn |
| Apr 27, 2024 | -9.95 Mn |
| Jan 27, 2024 | 9.29 Mn |
| Oct 28, 2023 | 4.61 Mn |
| Jul 29, 2023 | 25.56 Mn |
| Apr 29, 2023 | 12.75 Mn |
| Jan 28, 2023 | 7.60 Mn |
| Oct 29, 2022 | 12.21 Mn |
| Jul 30, 2022 | 21.49 Mn |
| Apr 30, 2022 | 5.08 Mn |
| Jan 29, 2022 | 15.25 Mn |
| Oct 30, 2021 | -5.46 Mn |
| Jul 31, 2021 | 9.37 Mn |
Village Super Market Free Cash Flow 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=free-cash-flow&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();