Chefs' Warehouse (CHEF) Operating Expenses (2010 - 2026)
Chefs' Warehouse's Operating Expenses came in at $234.18 million for Q2 2026, up 9.6% from $213.75 million a year earlier and up 4.5% from the prior quarter.
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Analysis
Chefs' Warehouse (CHEF) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Chefs' Warehouse reported Operating Expenses of $891.6 million, up 9.2% year-over-year; for FY2025, it was $849.79 million, up 8.3% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $784.85 million in FY2024 (+11.4%), $704.76 million in FY2023 (+36.0%), $518.22 million in FY2022 (+36.6%) and $379.25 million in FY2021 (+12.7%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses has increased for 21 consecutive quarters, with growth averaging 8.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 6.5% in Q1 2025 to 43.8% in Q2 2023.
- Business Quant data shows CHEF's Operating Expenses at $224.15 million (Q1 2026), $225.15 million (Q4 2025) and $208.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Chefs' Warehouse | 4.57 Bn | 4.13 Bn | 292.89 Mn | 234.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 234.18 Mn |
| Mar 27, 2026 | 224.15 Mn |
| Dec 26, 2025 | 225.15 Mn |
| Sep 26, 2025 | 208.13 Mn |
| Jun 27, 2025 | 213.75 Mn |
| Mar 28, 2025 | 202.76 Mn |
| Dec 27, 2024 | 206.80 Mn |
| Sep 27, 2024 | 192.89 Mn |
| Jun 28, 2024 | 194.83 Mn |
| Mar 29, 2024 | 190.32 Mn |
| Dec 29, 2023 | 189.97 Mn |
| Sep 29, 2023 | 179.61 Mn |
| Jun 30, 2023 | 179.04 Mn |
| Mar 31, 2023 | 156.14 Mn |
| Dec 30, 2022 | 153.39 Mn |
| Sep 23, 2022 | 130.26 Mn |
| Jun 24, 2022 | 124.49 Mn |
| Mar 25, 2022 | 110.09 Mn |
| Dec 24, 2021 | 109.22 Mn |
| Sep 24, 2021 | 99.43 Mn |
API Access
Chefs' Warehouse Operating Expenses 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=operating-expenses&ticker=CHEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();