Ralph Lauren (RL) Short-Term Debt repayments (2011 - 2020)
Ralph Lauren (RL) reported Short-Term Debt repayments of $475 million for FY2021 (year ended Mar 27, 2021).
Analysis
Ralph Lauren (RL) Short-Term Debt repayments (2011 - 2020) Analysis & Trends
Dating back to FY2012, Ralph Lauren's Short-Term Debt repayments record includes 6 fiscal years.
- Short-Term Debt repayments has a five-year compound annual growth rate of -36.1% (FY2016 to FY2021).
- The FY2021 figure ranks as the highest annual Short-Term Debt repayments since FY2017.
- According to Business Quant data, Short-Term Debt repayments came in at $9.9 million in FY2019 and $3.85 billion in FY2017 (-13.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.02 Bn | 22.22 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.70 Bn | 19.66 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.55 Bn | 14.64 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 12.54 Bn | 5.41 Bn | - | - |
| 5 | Lululemon Athletica | 11.14 Bn | 5.39 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | - |
| 7 | V F | 6.75 Bn | 3.37 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.59 Bn | 5.51 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | - |
| 10 | Crocs | 5.92 Bn | 5.33 Bn | 700.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2020 | 475.00 Mn |
| Jun 30, 2018 | 9.90 Mn |
| Dec 31, 2016 | 884.90 Mn |
| Oct 1, 2016 | 2.00 Bn |
| Jul 2, 2016 | 970.00 Mn |
| Apr 2, 2016 | 834.60 Mn |
| Dec 26, 2015 | 956.00 Mn |
| Sep 26, 2015 | 1.36 Bn |
| Jun 27, 2015 | 1.32 Bn |
| Mar 28, 2015 | 403.80 Mn |
| Dec 27, 2014 | 1.85 Bn |
| Sep 27, 2014 | 320.00 Mn |
| Dec 31, 2011 | 100.00 Mn |
API Access
Ralph Lauren Short-Term Debt repayments 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=short-term-debt-repayments&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();