Chefs' Warehouse (CHEF) Capital Expenditures (2010 - 2026)
Chefs' Warehouse (CHEF) reported Capital Expenditures of $9.23 million for Q2 2026, down 7.5% from $9.98 million a year earlier but up 19.9% from the prior quarter.
Chefs' Warehouse (CHEF) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 26, 2026, Chefs' Warehouse's Capital Expenditures came in at $36.03 million, down 6.9% year-over-year; for FY2025, it came in at $41.43 million, down 16.3% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 42.6% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $49.51 million in FY2024 (-13.8%), $57.43 million in FY2023 (+25.3%), $45.85 million in FY2022 (+18.2%) and $38.8 million in FY2021 (+451.5%).
- Five-year quarterly Capital Expenditures spans a low of $7.7 million in Q1 2026 and a high of $22.3 million in Q4 2023.
- Year over year, Capital Expenditures has now declined in each of the last three quarters, with an average decline of 21.5% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q3 2021 (growth of 722.4%); the low point was Q4 2024 (a decline of 62.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.7 million (Q1 2026), $8.09 million (Q4 2025) and $11.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 7.50 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 1.41 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 239.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 406.85 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 194.40 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 246.30 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 76.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 233.10 Mn |
| 10 | Chefs' Warehouse | 4.57 Bn | 4.13 Bn | 292.89 Mn | 9.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 9.23 Mn |
| Mar 27, 2026 | 7.70 Mn |
| Dec 26, 2025 | 8.09 Mn |
| Sep 26, 2025 | 11.02 Mn |
| Jun 27, 2025 | 9.98 Mn |
| Mar 28, 2025 | 12.34 Mn |
| Dec 27, 2024 | 8.38 Mn |
| Sep 27, 2024 | 8.01 Mn |
| Jun 28, 2024 | 16.06 Mn |
| Mar 29, 2024 | 17.07 Mn |
| Dec 29, 2023 | 22.30 Mn |
| Sep 29, 2023 | 11.98 Mn |
| Jun 30, 2023 | 14.46 Mn |
| Mar 31, 2023 | 8.70 Mn |
| Dec 30, 2022 | 14.18 Mn |
| Sep 23, 2022 | 8.18 Mn |
| Jun 24, 2022 | 9.28 Mn |
| Mar 25, 2022 | 14.21 Mn |
| Dec 24, 2021 | 20.93 Mn |
| Sep 24, 2021 | 8.30 Mn |
Chefs' Warehouse Capital Expenditures 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=capital-expenditures&ticker=CHEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();