Ralph Lauren (RL) Return on Sales [ROS] (2009 - 2026)
Ralph Lauren's Return on Sales [ROS] came in at 17.47% for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 1.56 percentage points from 15.92% a year earlier and up 7.94 percentage points from the prior quarter.
Ralph Lauren (RL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ralph Lauren reported Return on Sales [ROS] of 14.94%, up 1.25 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it came in at 14.53%, up 1.36 percentage points from FY2025.
- Return on Sales [ROS] has increased in each of the last three fiscal years, with a five-year change of +15.52 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 13.17% in FY2025 (+1.76 pp), 11.41% in FY2024 (+0.48 pp), 10.93% in FY2023 (-1.91 pp) and 12.84% in FY2022 (+13.83 pp).
- The five-year range for quarterly Return on Sales [ROS] is 2.42% (fiscal Q4 2022) to 19.59% (fiscal Q3 2026).
- Year-over-year, Return on Sales [ROS] has increased for 11 consecutive quarters, with an average year-over-year change of +1.46 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2022 (a gain of 18.45 percentage points), and the weakest in fiscal Q1 2023 (a drop of 4.27 percentage points).
- Business Quant data shows RL's Return on Sales [ROS] at 9.53% (Q4 2026), 19.59% (Q3 2026) and 12.22% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn | 7.92% |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 17.47% |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn | 23.57% |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn | 13.81% |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn | 11.12% |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | -4.98% |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | 28.22% |
| 10 | Crocs | 5.82 Bn | 5.23 Bn | 700.71 Mn | 24.22% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 17.47% |
| Mar 28, 2026 | 9.53% |
| Dec 27, 2025 | 19.59% |
| Sep 27, 2025 | 12.22% |
| Jun 28, 2025 | 15.92% |
| Mar 29, 2025 | 9.13% |
| Dec 28, 2024 | 18.18% |
| Sep 28, 2024 | 10.37% |
| Jun 29, 2024 | 13.79% |
| Mar 30, 2024 | 6.88% |
| Dec 30, 2023 | 16.43% |
| Sep 30, 2023 | 10.07% |
| Jul 1, 2023 | 11.12% |
| Apr 1, 2023 | 2.61% |
| Dec 31, 2022 | 15.40% |
| Oct 1, 2022 | 13.08% |
| Jul 2, 2022 | 11.75% |
| Apr 2, 2022 | 2.42% |
| Dec 25, 2021 | 15.92% |
| Sep 25, 2021 | 16.75% |
Ralph Lauren 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=RL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RL", "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=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();