Ralph Lauren (RL) Return on Assets [ROA] (2010 - 2026)
Ralph Lauren (RL) reported Return on Assets [ROA] of 12.77% for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 2.03 percentage points from 10.74% a year earlier and up 0.66 percentage points from the prior quarter.
Ralph Lauren (RL) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 28, 2026), Ralph Lauren posted Return on Assets [ROA] of 12.73%, up 1.84 percentage points from FY2025.
- Return on Assets [ROA] has increased for three consecutive fiscal years, with a five-year change of +14.33 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at 10.89% in FY2025 (+1.23 pp), 9.65% in FY2024 (+2.45 pp), 7.20% in FY2023 (-0.48 pp) and 7.69% in FY2022 (+9.28 pp).
- The fiscal Q1 2027 figure ranks as the highest quarterly Return on Assets [ROA] since fiscal Q4 2014.
- Year over year, Return on Assets [ROA] has now increased in each of the last 13 quarters, with an average year-over-year change of +1.52 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q3 2022 (a gain of 9.87 percentage points); the low point was fiscal Q4 2023 (a drop of 0.01 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 12.10% (Q4 2026), 12.12% (Q3 2026) and 11.32% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 8.24% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 23.22% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 12.77% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 16.67% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 9.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 0.77% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 6.20% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 13.64% |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 2.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 12.77% |
| Mar 28, 2026 | 12.10% |
| Dec 27, 2025 | 12.12% |
| Sep 27, 2025 | 11.32% |
| Jun 28, 2025 | 10.74% |
| Mar 29, 2025 | 10.52% |
| Dec 28, 2024 | 10.15% |
| Sep 28, 2024 | 10.17% |
| Jun 29, 2024 | 10.31% |
| Mar 30, 2024 | 9.50% |
| Dec 30, 2023 | 8.57% |
| Sep 30, 2023 | 7.77% |
| Jul 1, 2023 | 7.78% |
| Apr 1, 2023 | 7.56% |
| Dec 31, 2022 | 7.48% |
| Oct 1, 2022 | 7.54% |
| Jul 2, 2022 | 7.62% |
| Apr 2, 2022 | 7.57% |
| Dec 25, 2021 | 6.15% |
| Sep 25, 2021 | 5.00% |
Ralph Lauren Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();