G Willi Food International (WILCF) Total Liabilities (2009 - 2025)
G Willi Food International's Total Liabilities came in at $25.22 million for the quarter ended Jun 30, 2026, up 3.1% from $24.46 million a year earlier but down 14.7% from the prior quarter.
G Willi Food International (WILCF) Total Liabilities (2009 - 2025) Analysis & Trends
As of Dec 31, 2025, G Willi Food International's Total Liabilities was $5.82 million.
- Total Liabilities carries a five-year compound annual growth rate of -5.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was -$3.94 million in the year ended Dec 31, 2024, $13.19 million in the year ended Dec 31, 2023 (-29.1%), $18.6 million in the year ended Dec 31, 2022 (-53.1%) and $39.67 million in the year ended Dec 31, 2021 (+422.6%).
- The five-year range for quarterly Total Liabilities is -$3.94 million (the quarter ended Dec 31, 2024) to $39.67 million (the quarter ended Dec 31, 2021).
- Year-over-year, Total Liabilities increased in four of the last six quarters, with growth averaging 40.2%.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Dec 31, 2021 (growth of 422.6%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 53.1%).
- Business Quant data shows WILCF's Total Liabilities at $29.58 million (quarter ended Mar 31, 2026), $5.82 million (quarter ended Dec 31, 2025) and $20.73 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 9.53 Bn |
| 10 | G Willi Food International | 345.02 Mn | 182.02 Mn | 18.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 20.53 Mn |
| Dec 31, 2024 | 20.10 Mn |
| Dec 31, 2023 | 12.36 Mn |
| Dec 31, 2022 | 13.92 Mn |
| Dec 31, 2021 | 18.31 Mn |
| Dec 31, 2020 | 13.75 Mn |
| Jun 30, 2020 | 11.21 Mn |
| Dec 31, 2019 | 13.26 Mn |
| Jun 30, 2019 | 11.40 Mn |
| Dec 31, 2018 | 6.79 Mn |
| Dec 31, 2017 | 6.19 Mn |
| Dec 31, 2016 | 5.34 Mn |
| Sep 30, 2015 | 6.35 Mn |
| Jun 30, 2015 | 6.32 Mn |
| Mar 31, 2015 | 6.03 Mn |
| Sep 30, 2014 | 6.74 Mn |
| Jun 30, 2014 | 6.27 Mn |
| Mar 31, 2014 | 9.22 Mn |
| Dec 31, 2013 | 14.81 Mn |
| Sep 30, 2013 | 8.91 Mn |
G Willi Food International Total 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-liabilities&ticker=WILCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "WILCF", "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-liabilities&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();