Village Super Market (VLGEA) Accounts Payables (2011 - 2026)
Village Super Market (VLGEA) reported Accounts Payables of $38.66 million for fiscal Q3 2026 (quarter ended Apr 25, 2026), up 3.5% from $37.36 million a year earlier and up 5.6% from the prior quarter.
Village Super Market (VLGEA) Accounts Payables (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Village Super Market posted Accounts Payables of $33.18 million, up 16.7% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- By fiscal year, Accounts Payables came in at $28.43 million in FY2024 (-9.6%), $31.44 million in FY2023 (+29.6%), $24.27 million in FY2022 (-3.3%) and $25.1 million in FY2021 (-15.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Accounts Payables in data going back to fiscal Q4 2011.
- Year over year, Accounts Payables has now increased in each of the last six quarters, with growth averaging 5.3% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was fiscal Q4 2023 (growth of 29.6%); the low point was fiscal Q2 2022 (a decline of 21.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $36.61 million (Q2 2026), $34.14 million (Q1 2026) and $33.18 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 64.32 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 22.36 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 6.64 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 10.78 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 4.35 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 853.66 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.63 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 2.79 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 1.76 Bn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | 38.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 38.66 Mn |
| Jan 24, 2026 | 36.61 Mn |
| Oct 25, 2025 | 34.14 Mn |
| Jul 26, 2025 | 33.18 Mn |
| Apr 26, 2025 | 37.36 Mn |
| Jan 25, 2025 | 34.49 Mn |
| Oct 26, 2024 | 33.41 Mn |
| Jul 27, 2024 | 28.43 Mn |
| Apr 27, 2024 | 30.69 Mn |
| Jan 27, 2024 | 32.46 Mn |
| Oct 28, 2023 | 34.96 Mn |
| Jul 29, 2023 | 31.44 Mn |
| Apr 29, 2023 | 28.79 Mn |
| Jan 28, 2023 | 25.40 Mn |
| Oct 29, 2022 | 29.50 Mn |
| Jul 30, 2022 | 24.27 Mn |
| Apr 30, 2022 | 24.08 Mn |
| Jan 29, 2022 | 22.52 Mn |
| Oct 30, 2021 | 23.44 Mn |
| Jul 31, 2021 | 25.10 Mn |
Village Super Market Accounts Payables 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=accounts-payables&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();