Ralph Lauren (RL) Other Non-Current Liabilities (2010 - 2026)
Ralph Lauren (RL) reported Other Non-Current Liabilities of $176.9 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 18.6% from $217.3 million a year earlier but up 4.9% from the prior quarter.
Ralph Lauren (RL) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Ralph Lauren posted Other Non-Current Liabilities of $168.7 million, down 12.7% from FY2025.
- Other Non-Current Liabilities has a five-year compound annual growth rate of -2.4% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Liabilities came in at $193.3 million in FY2025 (+62.8%), $118.7 million in FY2024 (+17.6%), $100.9 million in FY2023 (-23.5%) and $131.9 million in FY2022 (-30.7%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $100.9 million in fiscal Q4 2023 and a high of $530.5 million in fiscal Q2 2022.
- Year over year, Other Non-Current Liabilities has now declined in each of the last three quarters, with growth averaging 23.4% over the last eight quarters.
- The high point for year-over-year Other Non-Current Liabilities in five years was fiscal Q1 2026 (growth of 76.2%); the low point was fiscal Q1 2023 (a decline of 79.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $168.7 million (Q4 2026), $169.2 million (Q3 2026) and $164.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.74 Bn | 21.94 Bn | 4.80 Bn |
| 2 | Tapestry | 23.60 Bn | 19.56 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.89 Bn | 14.99 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.31 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.93 Bn | 5.18 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.10 Bn | 4.68 Bn | 1.07 Bn |
| 7 | V F | 6.75 Bn | 3.37 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn |
| 10 | Crocs | 5.83 Bn | 5.24 Bn | 700.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 306.60 Mn |
| Mar 28, 2026 | 294.60 Mn |
| Dec 27, 2025 | 317.80 Mn |
| Sep 27, 2025 | 312.30 Mn |
| Jun 28, 2025 | 373.30 Mn |
| Mar 29, 2025 | 302.70 Mn |
| Dec 28, 2024 | 281.20 Mn |
| Sep 28, 2024 | 257.00 Mn |
| Jun 29, 2024 | 273.30 Mn |
| Mar 30, 2024 | 274.50 Mn |
| Dec 30, 2023 | 275.80 Mn |
| Sep 30, 2023 | 258.10 Mn |
| Jul 1, 2023 | 288.20 Mn |
| Apr 1, 2023 | 270.60 Mn |
| Dec 31, 2022 | 284.40 Mn |
| Oct 1, 2022 | 270.40 Mn |
| Jul 2, 2022 | 296.80 Mn |
| Apr 2, 2022 | 322.70 Mn |
| Dec 25, 2021 | 678.30 Mn |
| Sep 25, 2021 | 719.50 Mn |
Ralph Lauren Other Non-Current Liabilities 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-non-current-liabilities&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-non-current-liabilities&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();