Chefs' Warehouse (CHEF) Cash from Operations (2010 - 2026)
Chefs' Warehouse (CHEF) posted Cash from Operations of $58.39 million for Q2 2026, up 302.6% from $14.5 million a year earlier and up 52.6% from the prior quarter.
Chefs' Warehouse (CHEF) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, Cash from Operations at Chefs' Warehouse was $161.8 million, up 3.1% year-over-year; for FY2025, it was $129.22 million, down 15.6% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- In prior years, Chefs' Warehouse's Cash from Operations was $153.06 million in FY2024 (+148.3%), $61.64 million in FY2023 (+166.4%), $23.13 million in FY2022 and -$19.9 million in FY2021.
- Quarterly Cash from Operations has run from a low of -$8.72 million in Q3 2025 to a high of $73.87 million in Q4 2025 over five years.
- On a year-over-year basis, Cash from Operations increased in five of the last seven quarters, with growth averaging 68.6%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2026, with growth of 302.6%; the weakest was Q2 2025, with a decline of 50.5%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $38.26 million (Q1 2026), $73.87 million (Q4 2025) and -$8.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 14.97 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 3.45 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.18 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 780.52 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 384.07 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 921.50 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 431.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 562.02 Mn |
| 10 | Chefs' Warehouse | 4.57 Bn | 4.13 Bn | 292.89 Mn | 58.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 58.39 Mn |
| Mar 27, 2026 | 38.26 Mn |
| Dec 26, 2025 | 73.87 Mn |
| Sep 26, 2025 | -8.72 Mn |
| Jun 27, 2025 | 14.50 Mn |
| Mar 28, 2025 | 49.57 Mn |
| Dec 27, 2024 | 73.00 Mn |
| Sep 27, 2024 | 19.83 Mn |
| Jun 28, 2024 | 29.33 Mn |
| Mar 29, 2024 | 30.90 Mn |
| Dec 29, 2023 | 41.59 Mn |
| Sep 29, 2023 | 9.26 Mn |
| Jun 30, 2023 | 13.04 Mn |
| Mar 31, 2023 | -2.26 Mn |
| Dec 30, 2022 | -8.61 Mn |
| Sep 23, 2022 | 11.97 Mn |
| Jun 24, 2022 | 9.50 Mn |
| Mar 25, 2022 | 10.28 Mn |
| Dec 24, 2021 | 6.43 Mn |
| Sep 24, 2021 | -2.41 Mn |
Chefs' Warehouse Cash from Operations 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=cash-from-operations&ticker=CHEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();