Ralph Lauren (RL) Goodwill & Intangibles (2010 - 2026)
Ralph Lauren (RL) posted Goodwill & Intangibles of $990.3 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 1.7% from $973.8 million a year earlier but down 0.7% from the prior quarter.
Ralph Lauren (RL) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Ralph Lauren's Goodwill & Intangibles came in at $997.5 million, up 4.9% from FY2025.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of -1.1% (FY2021 to FY2026).
- In prior fiscal years, Ralph Lauren's Goodwill & Intangibles was $951.3 million in FY2025 (-1.3%), $963.8 million in FY2024 (-2.4%), $987.8 million in FY2023 (-2.4%) and $1.01 billion in FY2022 (-4.2%).
- Quarterly Goodwill & Intangibles has run from a low of $942.2 million in fiscal Q3 2025 to a high of $1.05 billion in fiscal Q2 2022 over five years.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last three quarters, with growth averaging 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q4 2026, with growth of 4.9%; the weakest was fiscal Q2 2023, with a decline of 8.1%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $997.5 million (Q4 2026), $966.8 million (Q3 2026) and $968.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 990.30 Mn |
| Mar 28, 2026 | 997.50 Mn |
| Dec 27, 2025 | 966.80 Mn |
| Sep 27, 2025 | 968.40 Mn |
| Jun 28, 2025 | 973.80 Mn |
| Mar 29, 2025 | 951.30 Mn |
| Dec 28, 2024 | 942.20 Mn |
| Sep 28, 2024 | 969.90 Mn |
| Jun 29, 2024 | 955.10 Mn |
| Mar 30, 2024 | 963.80 Mn |
| Dec 30, 2023 | 978.90 Mn |
| Sep 30, 2023 | 965.20 Mn |
| Jul 1, 2023 | 978.00 Mn |
| Apr 1, 2023 | 987.80 Mn |
| Dec 31, 2022 | 982.70 Mn |
| Oct 1, 2022 | 961.10 Mn |
| Jul 2, 2022 | 985.50 Mn |
| Apr 2, 2022 | 1.01 Bn |
| Dec 25, 2021 | 1.03 Bn |
| Sep 25, 2021 | 1.05 Bn |
Ralph Lauren Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();