G Willi Food International (WILCF) Pension (2009 - 2026)
G Willi Food International (WILCF) reported Pension of $1.87 million for the quarter ended Jun 30, 2026, up 17.3% from $1.59 million a year earlier but down 15.2% from the prior quarter.
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Analysis
G Willi Food International (WILCF) Pension (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, G Willi Food International posted Pension of $1.63 million, up 14.8% from the prior year.
- Pension has increased for four consecutive years, with a five-year compound annual growth rate of 8.1% (years ended Dec 2020 to Dec 2025).
- By year, Pension came in at $1.42 million in the year ended Dec 31, 2024 (+23.6%), $1.15 million in the year ended Dec 31, 2023 (+11.0%), $1.04 million in the year ended Dec 31, 2022 (+5.9%) and $978,000 in the year ended Dec 31, 2021 (-11.5%).
- Five-year quarterly Pension spans a low of $963,000 in the quarter ended Sep 30, 2021 and a high of $2.2 million in the quarter ended Mar 31, 2026.
- Year over year, Pension has now increased in each of the last 13 quarters, with growth averaging 20.0% over the last eight quarters.
- The high point for year-over-year Pension in five years was the quarter ended Mar 31, 2025 (growth of 45.4%); the low point was the quarter ended Dec 31, 2021 (a decline of 11.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.2 million (quarter ended Mar 31, 2026), $1.63 million (quarter ended Dec 31, 2025) and $1.37 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn |
| 10 | G Willi Food International | 359.40 Mn | 193.80 Mn | 18.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.87 Mn |
| Mar 31, 2026 | 2.20 Mn |
| Dec 31, 2025 | 1.63 Mn |
| Sep 30, 2025 | 1.37 Mn |
| Jun 30, 2025 | 1.59 Mn |
| Mar 31, 2025 | 1.87 Mn |
| Dec 31, 2024 | 1.42 Mn |
| Sep 30, 2024 | 1.29 Mn |
| Jun 30, 2024 | 1.35 Mn |
| Mar 31, 2024 | 1.28 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 1.11 Mn |
| Jun 30, 2023 | 1.08 Mn |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 1.04 Mn |
| Sep 30, 2022 | 980,000.00 |
| Jun 30, 2022 | 1.07 Mn |
| Mar 31, 2022 | 1.40 Mn |
| Dec 31, 2021 | 978,000.00 |
| Sep 30, 2021 | 963,000.00 |
API Access
G Willi Food International Pension 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=pension&ticker=WILCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();