Ralph Lauren (RL) Long-Term Investments (2010 - 2014)
Ralph Lauren (RL) posted Long-Term Investments of $644 million for fiscal Q3 2015 (quarter ended Dec 27, 2014), up 19.7% from $538 million a year earlier but down 9.3% from the prior quarter.
Ralph Lauren (RL) Long-Term Investments (2010 - 2014) Analysis & Trends
At the end of FY2014 (ended Mar 29, 2014), Ralph Lauren's Long-Term Investments came in at $490 million, up 20.7% from FY2013.
- Annual Long-Term Investments shows a four-year compound annual growth rate of 59.6% (FY2010 to FY2014).
- In prior fiscal years, Ralph Lauren's Long-Term Investments was $406 million in FY2013 (-34.0%), $615.6 million in FY2012 (-9.1%), $677.5 million in FY2011 (+797.4%) and $75.5 million in FY2010.
- Quarterly Long-Term Investments has run from a low of $29.6 million in fiscal Q1 2012 to a high of $710 million in fiscal Q2 2015 over five years.
- On a year-over-year basis, Long-Term Investments has increased in each of the last six quarters, with growth averaging 11.2% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was fiscal Q2 2012, with growth of 835.7%; the weakest was fiscal Q1 2012, with a decline of 58.8%.
- According to Business Quant data, Long-Term Investments for the three prior fiscal quarters was $710 million (Q2 2015), $660 million (Q1 2015) and $490 million (Q4 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 177.30 Mn |
| 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 |
|---|---|
| Dec 27, 2014 | 644.00 Mn |
| Sep 27, 2014 | 710.00 Mn |
| Jun 28, 2014 | 660.00 Mn |
| Mar 29, 2014 | 490.00 Mn |
| Dec 28, 2013 | 538.00 Mn |
| Sep 28, 2013 | 579.00 Mn |
| Jun 29, 2013 | 420.00 Mn |
| Mar 30, 2013 | 406.00 Mn |
| Dec 29, 2012 | 402.20 Mn |
| Sep 29, 2012 | 554.00 Mn |
| Jun 30, 2012 | 645.10 Mn |
| Mar 31, 2012 | 615.60 Mn |
| Dec 31, 2011 | 458.80 Mn |
| Oct 1, 2011 | 571.70 Mn |
| Jul 2, 2011 | 29.60 Mn |
| Apr 2, 2011 | 677.50 Mn |
| Jan 1, 2011 | 65.50 Mn |
| Oct 2, 2010 | 61.10 Mn |
| Jul 3, 2010 | 71.90 Mn |
| Apr 3, 2010 | 75.50 Mn |
Ralph Lauren Long-Term Investments 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=long-term-investments&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();