Chefs' Warehouse (CHEF) Return on Sales [ROS] (2010 - 2026)
Chefs' Warehouse's Return on Sales [ROS] came in at 5.02% for Q2 2026, up 1.13 percentage points from 3.89% a year earlier and up 1.89 percentage points from the prior quarter.
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Analysis
Chefs' Warehouse (CHEF) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Chefs' Warehouse reported Return on Sales [ROS] of 3.96%, up 0.38 percentage points year-over-year; for FY2025, it came in at 3.50%, up 0.12 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +12.73 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 3.38% in FY2024 (+0.44 pp), 2.94% in FY2023 (-0.34 pp), 3.28% in FY2022 (+2.66 pp) and 0.62% in FY2021 (+9.85 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q4 2016.
- Year-over-year, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +0.43 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 19.97 percentage points), and the weakest in Q2 2023 (a drop of 1.39 percentage points).
- Business Quant data shows CHEF's Return on Sales [ROS] at 3.13% (Q1 2026), 3.78% (Q4 2025) and 3.81% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 3.99% |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 4.44% |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | 2.80% |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 10.29% |
| 10 | Chefs' Warehouse | 4.59 Bn | 4.15 Bn | 292.89 Mn | 5.02% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 5.02% |
| Mar 27, 2026 | 3.13% |
| Dec 26, 2025 | 3.78% |
| Sep 26, 2025 | 3.81% |
| Jun 27, 2025 | 3.89% |
| Mar 28, 2025 | 2.39% |
| Dec 27, 2024 | 4.49% |
| Sep 27, 2024 | 3.42% |
| Jun 28, 2024 | 3.55% |
| Mar 29, 2024 | 1.83% |
| Dec 29, 2023 | 4.01% |
| Sep 29, 2023 | 2.90% |
| Jun 30, 2023 | 2.87% |
| Mar 31, 2023 | 1.65% |
| Dec 30, 2022 | 3.76% |
| Sep 23, 2022 | 3.34% |
| Jun 24, 2022 | 4.26% |
| Mar 25, 2022 | 1.22% |
| Dec 24, 2021 | 2.84% |
| Sep 24, 2021 | 2.16% |
API Access
Chefs' Warehouse Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CHEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();