Ross Stores (ROST) Return on Sales [ROS] (2009 - 2026)
Ross Stores' Return on Sales [ROS] came in at 17.62% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 6.07 percentage points from 11.54% a year earlier and up 4.24 percentage points from the prior quarter.
Ross Stores (ROST) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Ross Stores reported Return on Sales [ROS] of 13.75%, up 1.75 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 11.90%, down 0.34 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of +89.56 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 12.24% in FY2025 (+0.91 pp), 11.32% in FY2024 (+0.68 pp), 10.65% in FY2023 (+71.18 pp) and -60.53% in FY2022 (+17.13 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2010.
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +18.74 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q1 2025 (a gain of 74.58 percentage points), and the weakest in fiscal Q1 2023 (a drop of 6.38 percentage points).
- Business Quant data shows ROST's Return on Sales [ROS] at 13.38% (Q1 2027), 12.27% (Q4 2026) and 11.58% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 13.90% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 13.67% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 8.88% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 9.65% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 21.45% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 19.97% |
| 10 | JD.com | 34.34 Bn | -76.55 Bn | 8.74 Bn | 1.31% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 17.62% |
| May 2, 2026 | 13.38% |
| Jan 31, 2026 | 12.27% |
| Nov 1, 2025 | 11.58% |
| Aug 2, 2025 | 11.54% |
| May 3, 2025 | 12.17% |
| Feb 1, 2025 | 12.36% |
| Nov 2, 2024 | 11.91% |
| Aug 3, 2024 | 12.47% |
| May 4, 2024 | 12.17% |
| Feb 3, 2024 | 13.22% |
| Oct 28, 2023 | 12.05% |
| Jul 29, 2023 | 12.05% |
| Apr 29, 2023 | 10.84% |
| Jan 28, 2023 | 11.15% |
| Oct 29, 2022 | 9.88% |
| Jul 30, 2022 | 11.27% |
| Apr 30, 2022 | 10.78% |
| Jan 29, 2022 | 9.78% |
| Oct 30, 2021 | 11.43% |
Ross Stores 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=ROST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ROST", "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=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();