Ralph Lauren (RL) Retained Earnings (2010 - 2026)
Ralph Lauren's Retained Earnings came in at $8.51 billion for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 9.8% from $7.76 billion a year earlier and up 2.4% from the prior quarter.
Ralph Lauren (RL) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Ralph Lauren's Retained Earnings was $8.31 billion, up 9.5% from FY2025.
- Retained Earnings has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 7.2% (FY2021 to FY2026).
- Going back by fiscal year, Retained Earnings was $7.59 billion in FY2025 (+7.6%), $7.05 billion in FY2024 (+6.9%), $6.6 billion in FY2023 (+5.2%) and $6.27 billion in FY2022 (+6.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- Year-over-year, Retained Earnings has increased for 21 consecutive quarters, with growth averaging 8.5% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 5.0% (fiscal Q3 2023) and 9.8% (fiscal Q1 2027) over the last five years.
- Business Quant data shows RL's Retained Earnings at $8.31 billion (Q4 2026), $8.21 billion (Q3 2026) and $7.91 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | -155.00 Mn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.90 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 902.37 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 1.17 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 3.82 Bn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 8.51 Bn |
| Mar 28, 2026 | 8.31 Bn |
| Dec 27, 2025 | 8.21 Bn |
| Sep 27, 2025 | 7.91 Bn |
| Jun 28, 2025 | 7.76 Bn |
| Mar 29, 2025 | 7.59 Bn |
| Dec 28, 2024 | 7.51 Bn |
| Sep 28, 2024 | 7.27 Bn |
| Jun 29, 2024 | 7.17 Bn |
| Mar 30, 2024 | 7.05 Bn |
| Dec 30, 2023 | 7.01 Bn |
| Sep 30, 2023 | 6.78 Bn |
| Jul 1, 2023 | 6.68 Bn |
| Apr 1, 2023 | 6.60 Bn |
| Dec 31, 2022 | 6.62 Bn |
| Oct 1, 2022 | 6.45 Bn |
| Jul 2, 2022 | 6.35 Bn |
| Apr 2, 2022 | 6.27 Bn |
| Dec 25, 2021 | 6.30 Bn |
| Sep 25, 2021 | 6.13 Bn |
Ralph Lauren Retained Earnings 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=retained-earnings&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();