US Foods Holding (USFD) Return on Sales [ROS] (2015 - 2026)
US Foods Holding (USFD) recorded Return on Sales [ROS] of 4.21% in Q2 2026, up 0.52 percentage points from 3.69% a year earlier and up 1.96 percentage points from the prior quarter.
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Analysis
US Foods Holding (USFD) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a TTM basis, US Foods Holding's Return on Sales [ROS] came in at 3.14% as of Jun 27, 2026, up 0.10 percentage points year-over-year; for FY2025, it came in at 3.04%, up 0.14 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four straight years, with a four-year change of +1.60 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 2.90% in FY2024 (+0.04 pp), 2.86% in FY2023 (+1.11 pp), 1.74% in FY2022 (+0.31 pp) and 1.44% in FY2021.
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q4 2015.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +0.17 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1.87 percentage points in Q2 2023, against a drop of 1.87 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 2.25% (Q1 2026), 3.28% (Q4 2025) and 2.77% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 3.97% |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 4.44% |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 2.80% |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 10.29% |
| 10 | Performance Food | 15.21 Bn | 14.99 Bn | 2.17 Bn | 1.80% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.21% |
| Mar 28, 2026 | 2.25% |
| Dec 27, 2025 | 3.28% |
| Sep 27, 2025 | 2.77% |
| Jun 28, 2025 | 3.69% |
| Mar 29, 2025 | 2.40% |
| Dec 28, 2024 | 3.18% |
| Sep 28, 2024 | 2.87% |
| Jun 29, 2024 | 3.64% |
| Mar 30, 2024 | 1.84% |
| Dec 30, 2023 | 3.11% |
| Sep 30, 2023 | 2.53% |
| Jul 1, 2023 | 3.57% |
| Apr 1, 2023 | 2.19% |
| Dec 31, 2022 | 2.30% |
| Oct 1, 2022 | 2.40% |
| Jul 2, 2022 | 1.70% |
| Apr 2, 2022 | 0.44% |
| Jan 1, 2022 | 4.17% |
| Oct 2, 2021 | 1.71% |
API Access
US Foods Holding 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=USFD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "USFD", "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=USFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();