Ralph Lauren (RL) Other Accumulated Expenses (2011 - 2026)
Ralph Lauren's Other Accumulated Expenses came in at $1.01 billion for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 13.9% from $887.8 million a year earlier but down 8.4% from the prior quarter.
Ralph Lauren (RL) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Ralph Lauren's Other Accumulated Expenses was $1.1 billion, up 19.2% from FY2025.
- Other Accumulated Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $926.1 million in FY2025 (+14.4%), $809.7 million in FY2024 (+1.8%), $795.5 million in FY2023 (-19.8%) and $991.4 million in FY2022 (+13.3%).
- The five-year range for quarterly Other Accumulated Expenses is $795.5 million (fiscal Q4 2023) to $1.13 billion (fiscal Q3 2026).
- Year-over-year, Other Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 13.2% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q4 2026 (growth of 19.2%), and the weakest in fiscal Q4 2023 (a decline of 19.8%).
- Business Quant data shows RL's Other Accumulated Expenses at $1.1 billion (Q4 2026), $1.13 billion (Q3 2026) and $1.03 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn |
| 10 | V F | 5.66 Bn | 2.28 Bn | 917.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.01 Bn |
| Mar 28, 2026 | 1.10 Bn |
| Dec 27, 2025 | 1.13 Bn |
| Sep 27, 2025 | 1.03 Bn |
| Jun 28, 2025 | 887.80 Mn |
| Mar 29, 2025 | 926.10 Mn |
| Dec 28, 2024 | 996.10 Mn |
| Sep 28, 2024 | 895.70 Mn |
| Jun 29, 2024 | 801.50 Mn |
| Mar 30, 2024 | 809.70 Mn |
| Dec 30, 2023 | 905.10 Mn |
| Sep 30, 2023 | 823.10 Mn |
| Jul 1, 2023 | 809.00 Mn |
| Apr 1, 2023 | 795.50 Mn |
| Dec 31, 2022 | 898.50 Mn |
| Oct 1, 2022 | 877.10 Mn |
| Jul 2, 2022 | 886.00 Mn |
| Apr 2, 2022 | 991.40 Mn |
| Dec 25, 2021 | 1.07 Bn |
| Sep 25, 2021 | 962.50 Mn |
Ralph Lauren Other Accumulated Expenses 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=other-accumulated-expenses&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();