Village Super Market (VLGEA) Total Current Liabilities (2011 - 2026)
Village Super Market's Total Current Liabilities was $193.78 million in fiscal Q4 2026 (quarter ended Jul 25, 2026), up 6.9% from $181.27 million a year earlier and up 6.4% from the prior quarter.
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Analysis
Village Super Market (VLGEA) Total Current Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Village Super Market has reported Total Current Liabilities for 60 quarters.
- Total Current Liabilities shows a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $181.27 million in FY2025 (+4.0%), $174.22 million in FY2024 (-2.7%), $178.97 million in FY2023 (+13.2%) and $158.17 million in FY2022 (+3.9%).
- The fiscal Q4 2026 figure marks the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2011.
- Compared with a year earlier, Total Current Liabilities was higher in five of the last eight quarters, with growth averaging 3.0%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q4 2023 (growth of 13.2%); the worst was fiscal Q4 2024 (a decline of 2.7%).
- Per Business Quant data, VLGEA's Total Current Liabilities in the three fiscal quarters before Q4 2026 was $182.1 million (Q3 2026), $191.47 million (Q2 2026) and $181.39 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 115.63 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 43.95 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 10.52 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 18.42 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 7.27 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 1.36 Bn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 3.30 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 3.91 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 3.19 Bn |
| 10 | Village Super Market | 626.63 Mn | 89.32 Mn | - | 193.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 193.78 Mn |
| Apr 25, 2026 | 182.10 Mn |
| Jan 24, 2026 | 191.47 Mn |
| Oct 25, 2025 | 181.39 Mn |
| Jul 26, 2025 | 181.27 Mn |
| Apr 26, 2025 | 183.88 Mn |
| Jan 25, 2025 | 185.45 Mn |
| Oct 26, 2024 | 181.89 Mn |
| Jul 27, 2024 | 174.22 Mn |
| Apr 27, 2024 | 172.79 Mn |
| Jan 27, 2024 | 176.36 Mn |
| Oct 28, 2023 | 183.20 Mn |
| Jul 29, 2023 | 178.97 Mn |
| Apr 29, 2023 | 163.80 Mn |
| Jan 28, 2023 | 163.48 Mn |
| Oct 29, 2022 | 172.27 Mn |
| Jul 30, 2022 | 158.17 Mn |
| Apr 30, 2022 | 152.72 Mn |
| Jan 29, 2022 | 157.03 Mn |
| Oct 30, 2021 | 154.06 Mn |
API Access
Village Super Market Total Current Liabilities 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=total-current-liabilities&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();