G Willi Food International (WILCF) Change in Inventory (2010 - 2026)
G Willi Food International's Change in Inventory came in at -$75,000 for the quarter ended Jun 30, 2026, compared with $1.74 million a year earlier.
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Analysis
G Willi Food International (WILCF) Change in Inventory (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, G Willi Food International reported Change in Inventory of $7.92 million; for the year ended Dec 31, 2025, it was $1.3 million.
- Change in Inventory carries a five-year compound annual growth rate of -19.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Change in Inventory was -$11.21 million in the year ended Dec 31, 2024, $2.59 million in the year ended Dec 31, 2023, -$3.42 million in the year ended Dec 31, 2022 and -$4,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Change in Inventory since the quarter ended Mar 31, 2025.
- Business Quant data shows WILCF's Change in Inventory at $556,000 (quarter ended Mar 31, 2026), $4.38 million (quarter ended Dec 31, 2025) and $3.05 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | -1.17 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 457.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 60.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | -59.19 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 577,000.00 |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | -16.10 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 26.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | -69.86 Mn |
| 10 | G Willi Food International | 363.58 Mn | 197.98 Mn | 18.94 Mn | -75,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -75,000.00 |
| Mar 31, 2026 | 556,000.00 |
| Dec 31, 2025 | 4.38 Mn |
| Sep 30, 2025 | 3.05 Mn |
| Jun 30, 2025 | 1.74 Mn |
| Mar 31, 2025 | -7.87 Mn |
| Dec 31, 2024 | -526,000.00 |
| Sep 30, 2024 | 6.94 Mn |
| Jun 30, 2024 | -14.29 Mn |
| Mar 31, 2024 | -3.34 Mn |
| Dec 31, 2023 | 3.64 Mn |
| Sep 30, 2023 | 5.97 Mn |
| Jun 30, 2023 | -585,000.00 |
| Mar 31, 2023 | -6.43 Mn |
| Dec 31, 2022 | -204,000.00 |
| Sep 30, 2022 | 663,000.00 |
| Jun 30, 2022 | -1.94 Mn |
| Mar 31, 2022 | -1.94 Mn |
| Dec 31, 2021 | -3.22 Mn |
| Sep 30, 2021 | 2.92 Mn |
API Access
G Willi Food International Change in Inventory 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=change-in-inventory&ticker=WILCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();