Ralph Lauren (RL) Operating Margin (2009 - 2026)
Ralph Lauren's Operating Margin was 17.47% in 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) Operating Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ralph Lauren's Operating Margin was 14.94% through Jun 27, 2026, up 1.25 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it was 14.53%, up 1.36 percentage points from FY2025.
- Operating Margin has now increased for three consecutive fiscal years, with a five-year change of +15.52 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin 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).
- Quarterly Operating Margin has moved between 2.42% (fiscal Q4 2022) and 19.59% (fiscal Q3 2026) over five years.
- Compared with a year earlier, Operating Margin has increased for 11 straight quarters, with an average year-over-year change of +1.46 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q2 2022 (a gain of 18.45 percentage points); the worst was fiscal Q1 2023 (a drop of 4.27 percentage points).
- Per Business Quant data, RL's Operating Margin in the three fiscal quarters before Q1 2027 was 9.53% (Q4 2026), 19.59% (Q3 2026) and 12.22% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 11.95% |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 24.22% |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | -4.98% |
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 Operating Margin 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=operating-margin&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();