Chefs' Warehouse (CHEF) Cost of Revenue (2010 - 2026)
Chefs' Warehouse's Cost of Revenue was $875.73 million in Q2 2026, up 12.2% from $780.57 million a year earlier and up 9.2% from the prior quarter.
Powered by 
Analysis
Chefs' Warehouse (CHEF) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Chefs' Warehouse's Cost of Revenue was $3.32 billion through Jun 26, 2026, up 10.8% year-over-year; for FY2025, it came in at $3.15 billion, up 9.2% from FY2024.
- Cost of Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $2.88 billion in FY2024 (+10.0%), $2.62 billion in FY2023 (+31.3%), $1.99 billion in FY2022 (+47.2%) and $1.36 billion in FY2021 (+57.0%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2010.
- Compared with a year earlier, Cost of Revenue has increased for 21 straight quarters, with growth averaging 9.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 4.8% in Q3 2024 to 94.1% in Q4 2021.
- Per Business Quant data, CHEF's Cost of Revenue in the three quarters before Q2 2026 was $801.64 million (Q1 2026), $866 million (Q4 2025) and $774.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 138.80 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 61.52 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 17.99 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 26.76 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 7.61 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 4.44 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 2.79 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 8.61 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 2.86 Bn |
| 10 | Chefs' Warehouse | 4.75 Bn | 4.30 Bn | 292.89 Mn | 875.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 875.73 Mn |
| Mar 27, 2026 | 801.64 Mn |
| Dec 26, 2025 | 866.00 Mn |
| Sep 26, 2025 | 774.13 Mn |
| Jun 27, 2025 | 780.57 Mn |
| Mar 28, 2025 | 724.75 Mn |
| Dec 27, 2024 | 782.61 Mn |
| Sep 27, 2024 | 706.70 Mn |
| Jun 28, 2024 | 725.70 Mn |
| Mar 29, 2024 | 665.05 Mn |
| Dec 29, 2023 | 721.85 Mn |
| Sep 29, 2023 | 674.13 Mn |
| Jun 30, 2023 | 673.38 Mn |
| Mar 31, 2023 | 549.94 Mn |
| Dec 30, 2022 | 604.01 Mn |
| Sep 23, 2022 | 504.07 Mn |
| Jun 24, 2022 | 492.10 Mn |
| Mar 25, 2022 | 394.59 Mn |
| Dec 24, 2021 | 432.56 Mn |
| Sep 24, 2021 | 374.35 Mn |
API Access
Chefs' Warehouse Cost of Revenue 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=cost-of-revenue&ticker=CHEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();