Village Super Market (VLGEA) Receivables (2022 - 2026)
Village Super Market (VLGEA) reported Receivables of $50.53 million for fiscal Q3 2026 (quarter ended Apr 25, 2026), up 7.4% from $47.02 million a year earlier and up 11.2% from the prior quarter.
Village Super Market (VLGEA) Receivables (2022 - 2026) Analysis & Trends
At the end of FY2023 (ended Jul 29, 2023), Village Super Market posted Receivables of $43.95 million, down 23.9% from FY2022.
- By fiscal year, Receivables came in at $57.78 million in FY2022.
- Five-year quarterly Receivables spans a low of $39.17 million in fiscal Q2 2024 and a high of $58.18 million in fiscal Q1 2026.
- Year over year, Receivables has now increased in each of the last three quarters, with growth averaging 7.8% over the last six quarters.
- Across the past five years, year-over-year growth in Receivables ran from 1.6% in fiscal Q1 2026 to 15.6% in fiscal Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 3.96 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 2.19 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 | 245.84 Mn |
| 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 | 2.48 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
| Date | Value |
|---|---|
| Apr 25, 2026 | 50.53 Mn |
| Jan 24, 2026 | 45.44 Mn |
| Oct 25, 2025 | 58.18 Mn |
| Apr 26, 2025 | 47.02 Mn |
| Jan 25, 2025 | 42.17 Mn |
| Oct 26, 2024 | 57.25 Mn |
| Apr 27, 2024 | 44.09 Mn |
| Jan 27, 2024 | 39.17 Mn |
| Oct 28, 2023 | 49.53 Mn |
| Jul 29, 2023 | 43.95 Mn |
| Apr 29, 2023 | 39.41 Mn |
| Jul 30, 2022 | 40.87 Mn |
Village Super Market Receivables 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&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();