G Willi Food International (WILCF) EPS (Diluted) (2010 - 2026)
G Willi Food International (WILCF) reported EPS (Diluted) of $0.54 for the quarter ended Jun 30, 2026, down 32.9% from $0.80 a year earlier but up 17.7% from the prior quarter.
G Willi Food International (WILCF) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, G Willi Food International's EPS (Diluted) came in at $1.79, down 21.8% year-over-year; for the year ended Dec 31, 2025, it was $2.04, up 46.6% from the prior year.
- EPS (Diluted) has a five-year compound annual growth rate of 11.0% (years ended Dec 2020 to Dec 2025).
- By year, EPS (Diluted) came in at $1.39 in the year ended Dec 31, 2024 (+120.8%), $0.63 in the year ended Dec 31, 2023 (-26.1%), $0.85 in the year ended Dec 31, 2022 (-18.6%) and $1.05 in the year ended Dec 31, 2021 (-13.5%).
- Five-year quarterly EPS (Diluted) spans a low of $0.09 in the quarter ended Jun 30, 2023 and a high of $0.80 in the quarter ended Jun 30, 2025.
- Year over year, EPS (Diluted) gained in five of the last eight quarters, with growth averaging 100.6%.
- The high point for year-over-year EPS (Diluted) in five years was the quarter ended Sep 30, 2024 (growth of 367.4%); the low point was the quarter ended Sep 30, 2021 (a decline of 80.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $0.46 (quarter ended Mar 31, 2026), $0.50 (quarter ended Dec 31, 2025) and $0.29 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 0.80 |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 4.93 |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 1.15 |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 1.05 |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.48 |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 7.37 |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 2.70 |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.24 |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 0.69 |
| 10 | G Willi Food International | 359.40 Mn | 193.80 Mn | 18.94 Mn | 0.54 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.54 |
| Mar 31, 2026 | 0.46 |
| Dec 31, 2025 | 0.50 |
| Sep 30, 2025 | 0.29 |
| Jun 30, 2025 | 0.80 |
| Mar 31, 2025 | 0.44 |
| Dec 31, 2024 | 0.58 |
| Sep 30, 2024 | 0.46 |
| Jun 30, 2024 | 0.18 |
| Mar 31, 2024 | 0.36 |
| Dec 31, 2023 | 0.23 |
| Sep 30, 2023 | 0.10 |
| Jun 30, 2023 | 0.09 |
| Mar 31, 2023 | 0.22 |
| Dec 31, 2022 | 0.31 |
| Sep 30, 2022 | 0.13 |
| Jun 30, 2022 | 0.13 |
| Mar 31, 2022 | 0.27 |
| Dec 31, 2021 | 0.19 |
| Sep 30, 2021 | 0.10 |
G Willi Food International EPS (Diluted) 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=eps-diluted&ticker=WILCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();