Village Super Market (VLGEA) Receivables - Net (2022 - 2026)
Village Super Market's Receivables - Net was $40.01 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), up 7.9% from $37.08 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Village Super Market (VLGEA) Receivables - Net (2022 - 2026) Analysis & Trends
At the end of FY2023 (ended Jul 29, 2023), Receivables - Net at Village Super Market came in at $31.48 million, up 10.0% from FY2022.
- In earlier fiscal years, Receivables - Net was $28.63 million in FY2022.
- The fiscal Q3 2026 figure marks the highest quarterly Receivables - Net in data going back to fiscal Q4 2022.
- Compared with a year earlier, Receivables - Net has increased for three straight quarters, with growth averaging 8.8% over the last six quarters.
- Over the past five years, the year-over-year growth in Receivables - Net ranged from 7.9% (fiscal Q3 2026) to 10.6% (fiscal Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn |
| 10 | Village Super Market | 626.63 Mn | 89.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 40.01 Mn |
| Jan 24, 2026 | 39.31 Mn |
| Oct 25, 2025 | 38.58 Mn |
| Apr 26, 2025 | 37.08 Mn |
| Jan 25, 2025 | 36.36 Mn |
| Oct 26, 2024 | 35.61 Mn |
| Apr 27, 2024 | 34.07 Mn |
| Jan 27, 2024 | 33.32 Mn |
| Oct 28, 2023 | 32.21 Mn |
| Jul 29, 2023 | 31.48 Mn |
| Apr 29, 2023 | 30.80 Mn |
| Jul 30, 2022 | 28.63 Mn |
API Access
Village Super Market Receivables - Net 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=receivables-net&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();