G Willi Food International (WILCF) Intangibles (2009 - 2026)
G Willi Food International's Intangibles came in at $709,000 for the quarter ended Sep 30, 2011, down 36.7% from the prior quarter.
Analysis
G Willi Food International (WILCF) Intangibles (2009 - 2026) Analysis & Trends
As of Dec 31, 2010, G Willi Food International's Intangibles was $1.1 million, down 11.6% from the prior year.
- Going back by year, Intangibles was $1.24 million in the year ended Dec 31, 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 999.02 Bn | 955.46 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 473.50 Bn | 396.78 Bn | 12.19 Bn | - |
| 3 | Kroger | 41.27 Bn | 27.43 Bn | 7.86 Bn | 848.00 Mn |
| 4 | Sysco | 37.80 Bn | 29.72 Bn | 4.05 Bn | 899.00 Mn |
| 5 | Dollar General | 30.21 Bn | 24.89 Bn | 3.68 Bn | 1.20 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 | - |
| 8 | US Foods Holding | 23.79 Bn | 23.59 Bn | 1.90 Bn | 737.00 Mn |
| 9 | Tractor Supply | 19.46 Bn | 18.61 Bn | 1.42 Bn | - |
| 10 | G Willi Food International | 325.41 Mn | 162.41 Mn | 18.94 Mn | 1.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Mn |
| Mar 31, 2026 | 1.24 Mn |
| Dec 31, 2025 | 1.53 Mn |
| Sep 30, 2025 | 1.50 Mn |
| Jun 30, 2025 | 1.44 Mn |
| Mar 31, 2025 | 1.53 Mn |
| Dec 31, 2024 | 1.51 Mn |
| Sep 30, 2024 | 1.36 Mn |
| Jun 30, 2024 | 900,000.00 |
| Mar 31, 2024 | 908,000.00 |
| Dec 31, 2023 | 582,000.00 |
| Sep 30, 2023 | 736,000.00 |
| Jun 30, 2023 | 893,000.00 |
| Mar 31, 2023 | 894,000.00 |
| Dec 31, 2022 | 935,000.00 |
| Sep 30, 2022 | 963,000.00 |
| Jun 30, 2022 | 969,000.00 |
| Mar 31, 2022 | 980,000.00 |
| Dec 31, 2021 | 1.16 Mn |
| Sep 30, 2021 | 1.33 Mn |
API Access
G Willi Food International Intangibles 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=intangibles&ticker=WILCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();