Chefs' Warehouse (CHEF) Shares Outstanding (Diluted) (2010 - 2026)
Chefs' Warehouse (CHEF) reported Shares Outstanding (Diluted) of 46.05 million for Q2 2026, unchanged from 46.03 million a year earlier and down 0.1% from the prior quarter.
Chefs' Warehouse (CHEF) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Chefs' Warehouse posted Shares Outstanding (Diluted) of 46 million, unchanged from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 45.98 million in FY2024 (+0.8%), 45.64 million in FY2023 (+17.8%), 38.74 million in FY2022 (+5.4%) and 36.74 million in FY2021 (+9.0%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 36.74 million in Q4 2021 and a high of 46.09 million in Q1 2025.
- Year over year, Shares Outstanding (Diluted) gained in four of the last eight quarters, with growth averaging 2.6%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2025 (growth of 19.3%); the low point was Q3 2025 (a decline of 0.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 46.08 million (Q1 2026), 46 million (Q4 2025) and 45.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 7.98 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 444.43 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 480.61 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 608.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 221.51 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 37.14 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 190.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 221.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 524.62 Mn |
| 10 | Chefs' Warehouse | 4.57 Bn | 4.13 Bn | 292.89 Mn | 46.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 46.05 Mn |
| Mar 27, 2026 | 46.08 Mn |
| Dec 26, 2025 | 46.00 Mn |
| Sep 26, 2025 | 45.80 Mn |
| Jun 27, 2025 | 46.03 Mn |
| Mar 28, 2025 | 46.09 Mn |
| Dec 27, 2024 | 45.98 Mn |
| Sep 27, 2024 | 45.94 Mn |
| Jun 28, 2024 | 45.95 Mn |
| Mar 29, 2024 | 38.63 Mn |
| Dec 29, 2023 | 45.64 Mn |
| Sep 29, 2023 | 45.72 Mn |
| Jun 30, 2023 | 45.60 Mn |
| Mar 31, 2023 | 38.16 Mn |
| Dec 30, 2022 | 38.74 Mn |
| Sep 23, 2022 | 42.04 Mn |
| Jun 24, 2022 | 42.05 Mn |
| Mar 25, 2022 | 37.31 Mn |
| Dec 24, 2021 | 36.74 Mn |
| Sep 24, 2021 | 37.11 Mn |
Chefs' Warehouse Shares Outstanding (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=shares-outstanding-diluted&ticker=CHEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CHEF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();