Ralph Lauren (RL) Change in Accured Expenses (2009 - 2026)
Ralph Lauren (RL) posted Change in Accured Expenses of $53.3 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 37.9% from $85.8 million a year earlier.
Ralph Lauren (RL) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Change in Accured Expenses at Ralph Lauren was $109.7 million, down 34.1% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $142.2 million, down 37.1% from FY2025.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -13.5% (FY2021 to FY2026).
- In prior fiscal years, Ralph Lauren's Change in Accured Expenses was $226.2 million in FY2025, $15.6 million in FY2024, -$225 million in FY2023 and $194.6 million in FY2022 (-33.7%).
- Quarterly Change in Accured Expenses has run from a low of -$200.7 million in fiscal Q4 2023 to a high of $150.4 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 142.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q3 2025, with growth of 898.6%; the weakest was fiscal Q2 2022, with a decline of 58.6%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$135 million (Q4 2026), $121.2 million (Q3 2026) and $70.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 528.00 Mn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 99.80 Mn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 53.30 Mn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | -4.52 Mn |
| 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 | 40.70 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 66.18 Mn |
| 10 | V F | 5.66 Bn | 2.28 Bn | 917.04 Mn | -99.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 53.30 Mn |
| Mar 28, 2026 | -135.00 Mn |
| Dec 27, 2025 | 121.20 Mn |
| Sep 27, 2025 | 70.20 Mn |
| Jun 28, 2025 | 85.80 Mn |
| Mar 29, 2025 | -142.40 Mn |
| Dec 28, 2024 | 142.80 Mn |
| Sep 28, 2024 | 80.20 Mn |
| Jun 29, 2024 | 145.60 Mn |
| Mar 30, 2024 | -153.40 Mn |
| Dec 30, 2023 | 14.30 Mn |
| Sep 30, 2023 | 49.40 Mn |
| Jul 1, 2023 | 105.30 Mn |
| Apr 1, 2023 | -200.70 Mn |
| Dec 31, 2022 | -56.10 Mn |
| Oct 1, 2022 | -20.40 Mn |
| Jul 2, 2022 | 52.20 Mn |
| Apr 2, 2022 | -101.50 Mn |
| Dec 25, 2021 | 150.40 Mn |
| Sep 25, 2021 | 140.40 Mn |
Ralph Lauren Change in Accured 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=change-in-accured-expenses&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();