Ralph Lauren (RL) Cash & Equivalents (2009 - 2026)
Ralph Lauren's Cash & Equivalents came in at $1.72 billion for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 17.8% from $2.09 billion a year earlier and down 13.5% from the prior quarter.
Ralph Lauren (RL) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Ralph Lauren's Cash & Equivalents was $1.99 billion, up 3.4% from FY2025.
- Cash & Equivalents has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -5.1% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $1.92 billion in FY2025 (+15.7%), $1.66 billion in FY2024 (+8.7%), $1.53 billion in FY2023 (-17.9%) and $1.86 billion in FY2022 (-27.7%).
- The five-year range for quarterly Cash & Equivalents is $1.11 billion (fiscal Q2 2023) to $2.39 billion (fiscal Q2 2022).
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 6.2%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q1 2026 (growth of 31.7%), and the weakest in fiscal Q2 2023 (a decline of 53.6%).
- Business Quant data shows RL's Cash & Equivalents at $1.99 billion (Q4 2026), $2.03 billion (Q3 2026) and $1.44 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 599.00 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 1.43 Bn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 1.21 Bn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 641.40 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 442.95 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 163.46 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Gildan Activewear | 6.61 Bn | 5.57 Bn | 624.95 Mn | 249.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 1.43 Bn |
| Jun 27, 2026 | 1.72 Bn |
| Mar 28, 2026 | 1.99 Bn |
| Dec 27, 2025 | 2.03 Bn |
| Sep 27, 2025 | 1.44 Bn |
| Jun 28, 2025 | 2.09 Bn |
| Mar 29, 2025 | 1.92 Bn |
| Dec 28, 2024 | 1.94 Bn |
| Sep 28, 2024 | 1.36 Bn |
| Jun 29, 2024 | 1.59 Bn |
| Mar 30, 2024 | 1.66 Bn |
| Dec 30, 2023 | 1.80 Bn |
| Sep 30, 2023 | 1.38 Bn |
| Jul 1, 2023 | 1.61 Bn |
| Apr 1, 2023 | 1.53 Bn |
| Dec 31, 2022 | 1.57 Bn |
| Oct 1, 2022 | 1.11 Bn |
| Jul 2, 2022 | 1.46 Bn |
| Apr 2, 2022 | 1.86 Bn |
| Dec 25, 2021 | 2.28 Bn |
Ralph Lauren Cash & Equivalents 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=cash-and-equivalents&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();