Ralph Lauren (RL) Net Income (2009 - 2026)
Ralph Lauren's Net Income came in at $262.2 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 19.0% from $220.4 million a year earlier and up 73.0% from the prior quarter.
Ralph Lauren (RL) Net Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ralph Lauren reported Net Income of $982.9 million, up 23.7% year-over-year; for FY2026 (ended Mar 28, 2026), it was $941.1 million, up 26.7% from FY2025.
- Net Income has increased in each of the last three fiscal years.
- Going back by fiscal year, Net Income was $742.9 million in FY2025 (+14.9%), $646.3 million in FY2024 (+23.6%), $522.7 million in FY2023 (-12.9%) and $600.1 million in FY2022.
- The five-year range for quarterly Net Income is $24.4 million (fiscal Q4 2022) to $361.6 million (fiscal Q3 2026).
- Year-over-year, Net Income has increased for 11 consecutive quarters, with growth averaging 22.4% over the last eight quarters.
- The fastest year-over-year change in Net Income over five years came in fiscal Q4 2024 (growth of 180.8%), and the weakest in fiscal Q1 2023 (a decline of 25.1%).
- Business Quant data shows RL's Net Income at $151.6 million (Q4 2026), $361.6 million (Q3 2026) and $207.5 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.07 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 87.30 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -49.95 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 127.38 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 204.89 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -97.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 262.20 Mn |
| Mar 28, 2026 | 151.60 Mn |
| Dec 27, 2025 | 361.60 Mn |
| Sep 27, 2025 | 207.50 Mn |
| Jun 28, 2025 | 220.40 Mn |
| Mar 29, 2025 | 129.00 Mn |
| Dec 28, 2024 | 297.40 Mn |
| Sep 28, 2024 | 147.90 Mn |
| Jun 29, 2024 | 168.60 Mn |
| Mar 30, 2024 | 90.70 Mn |
| Dec 30, 2023 | 276.60 Mn |
| Sep 30, 2023 | 146.90 Mn |
| Jul 1, 2023 | 132.10 Mn |
| Apr 1, 2023 | 32.30 Mn |
| Dec 31, 2022 | 216.50 Mn |
| Oct 1, 2022 | 150.50 Mn |
| Jul 2, 2022 | 123.40 Mn |
| Apr 2, 2022 | 24.40 Mn |
| Dec 25, 2021 | 217.70 Mn |
| Sep 25, 2021 | 193.30 Mn |
Ralph Lauren Net Income 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=net-income&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();