G Willi Food International (WILCF) Interest Expenses (2010 - 2026)
G Willi Food International (WILCF) posted Interest Expenses of -$295,000 for the quarter ended Jun 30, 2026, compared with -$377,000 a year earlier.
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Analysis
G Willi Food International (WILCF) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at G Willi Food International was $882,000, up 103.2% year-over-year; for the year ended Dec 31, 2025, it came in at $824,000, up 36.0% from the prior year.
- Annual Interest Expenses shows a five-year compound annual growth rate of 15.4% (years ended Dec 2020 to Dec 2025).
- In prior years, G Willi Food International's Interest Expenses was $606,000 in the year ended Dec 31, 2024 (+45.3%), $417,000 in the year ended Dec 31, 2023 (-66.7%), $1.25 million in the year ended Dec 31, 2022 (-78.5%) and $5.82 million in the year ended Dec 31, 2021.
- Quarterly Interest Expenses has run from a low of -$2.13 million in the quarter ended Jun 30, 2022 to a high of $6.9 million in the quarter ended Dec 31, 2021 over five years.
- According to Business Quant data, Interest Expenses for the three prior quarters was -$125,000 (quarter ended Mar 31, 2026), $1.47 million (quarter ended Dec 31, 2025) and -$172,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 999.02 Bn | 955.46 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 473.50 Bn | 396.78 Bn | 12.19 Bn | 45.00 Mn |
| 3 | Kroger | 41.27 Bn | 27.43 Bn | 7.86 Bn | 3.00 Mn |
| 4 | Sysco | 37.80 Bn | 29.72 Bn | 4.05 Bn | - |
| 5 | Dollar General | 30.21 Bn | 24.89 Bn | 3.68 Bn | - |
| 6 | Dollar Tree | 26.28 Bn | 22.90 Bn | 2.10 Bn | - |
| 7 | Caseys General Stores | 25.54 Bn | 23.53 Bn | 1.24 Bn | 22.06 Mn |
| 8 | US Foods Holding | 23.79 Bn | 23.59 Bn | 1.90 Bn | 78.00 Mn |
| 9 | Tractor Supply | 19.46 Bn | 18.61 Bn | 1.42 Bn | 19.39 Mn |
| 10 | G Willi Food International | 325.41 Mn | 162.41 Mn | 18.94 Mn | -295,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -295,000.00 |
| Mar 31, 2026 | -125,000.00 |
| Dec 31, 2025 | 1.47 Mn |
| Sep 30, 2025 | -172,000.00 |
| Jun 30, 2025 | -377,000.00 |
| Mar 31, 2025 | -101,000.00 |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | -101,000.00 |
| Jun 30, 2024 | -85,000.00 |
| Mar 31, 2024 | -221,000.00 |
| Dec 31, 2023 | 269,000.00 |
| Sep 30, 2023 | 246,000.00 |
| Jun 30, 2023 | 1.01 Mn |
| Mar 31, 2023 | -1.11 Mn |
| Jun 30, 2022 | -2.13 Mn |
| Mar 31, 2022 | -50,000.00 |
| Dec 31, 2021 | 6.90 Mn |
| Sep 30, 2021 | -863,000.00 |
| Jun 30, 2021 | -148,000.00 |
| Mar 31, 2021 | -69,000.00 |
API Access
G Willi Food International Interest Expenses 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=interest-expenses&ticker=WILCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();