Chefs' Warehouse (CHEF) Retained Earnings (2011 - 2026)
Chefs' Warehouse (CHEF) reported Retained Earnings of $244.36 million for Q2 2026, up 48.1% from $165.02 million a year earlier and up 16.0% from the prior quarter.
Chefs' Warehouse (CHEF) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025, Chefs' Warehouse posted Retained Earnings of $201.65 million, up 42.1% from FY2024.
- Retained Earnings has increased for four consecutive years, with a five-year compound annual growth rate of 36.5% (FY2020 to FY2025).
- By year, Retained Earnings came in at $141.94 million in FY2024 (+42.0%), $99.95 million in FY2023 (+52.9%), $65.36 million in FY2022 (+73.8%) and $37.61 million in FY2021 (-11.6%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q3 2011.
- Year over year, Retained Earnings has now increased in each of the last 18 quarters, with growth averaging 44.2% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was Q3 2022 (growth of 120.1%); the low point was Q3 2021 (a decline of 63.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $210.59 million (Q1 2026), $201.65 million (Q4 2025) and $179.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 26.48 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Chefs' Warehouse | 4.57 Bn | 4.13 Bn | 292.89 Mn | 244.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 244.36 Mn |
| Mar 27, 2026 | 210.59 Mn |
| Dec 26, 2025 | 201.65 Mn |
| Sep 26, 2025 | 179.96 Mn |
| Jun 27, 2025 | 165.02 Mn |
| Mar 28, 2025 | 152.23 Mn |
| Dec 27, 2024 | 141.94 Mn |
| Sep 27, 2024 | 123.87 Mn |
| Jun 28, 2024 | 117.41 Mn |
| Mar 29, 2024 | 101.88 Mn |
| Dec 29, 2023 | 99.95 Mn |
| Sep 29, 2023 | 83.95 Mn |
| Jun 30, 2023 | 76.63 Mn |
| Mar 31, 2023 | 66.76 Mn |
| Dec 30, 2022 | 65.36 Mn |
| Sep 23, 2022 | 64.19 Mn |
| Jun 24, 2022 | 55.91 Mn |
| Mar 25, 2022 | 39.00 Mn |
| Dec 24, 2021 | 37.61 Mn |
| Sep 24, 2021 | 29.17 Mn |
Chefs' Warehouse Retained Earnings 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=retained-earnings&ticker=CHEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();