Ralph Lauren (RL) Short-Term Debt issuances (2011 - 2018)
Ralph Lauren (RL) posted Short-Term Debt issuances of $475 million for FY2020 (year ended Mar 28, 2020).
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Analysis
Ralph Lauren (RL) Short-Term Debt issuances (2011 - 2018) Analysis & Trends
Since FY2012, Ralph Lauren has reported Short-Term Debt issuances for 6 fiscal years.
- Annual Short-Term Debt issuances shows a five-year compound annual growth rate of -29.9% (FY2015 to FY2020).
- The FY2020 figure stands as the highest annual Short-Term Debt issuances since FY2017.
- Business Quant data shows RL's Short-Term Debt issuances at $10.1 million in FY2018 (-99.7%), $3.74 billion in FY2017 (-14.0%) and $4.34 billion in FY2016 (+54.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | - |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | - |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | - |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | - |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | - |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | - |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | - |
| 10 | Gildan Activewear | 6.61 Bn | 5.57 Bn | 624.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 10.10 Mn |
| Dec 31, 2016 | 789.90 Mn |
| Oct 1, 2016 | 2.00 Bn |
| Jul 2, 2016 | 943.90 Mn |
| Apr 2, 2016 | 934.90 Mn |
| Dec 26, 2015 | 841.00 Mn |
| Sep 26, 2015 | 1.33 Bn |
| Jun 27, 2015 | 1.24 Bn |
| Mar 28, 2015 | 524.70 Mn |
| Dec 27, 2014 | 1.75 Bn |
| Sep 27, 2014 | 530.00 Mn |
| Oct 1, 2011 | 100.00 Mn |
| Jul 2, 2011 | 7.70 Mn |
API Access
Ralph Lauren Short-Term Debt issuances 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-issuances&ticker=RL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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-issuances&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();