Steven Madden (SHOO) Long-Term Investments (2010 - 2018)
Steven Madden's Long-Term Investments came in at $2.12 million for Q2 2018, down 94.9% from $41.87 million a year earlier and down 89.7% from the prior quarter.
Steven Madden (SHOO) Long-Term Investments (2010 - 2018) Analysis & Trends
At the end of FY2017, Steven Madden's Long-Term Investments was $29.52 million, down 58.2% from FY2016.
- Long-Term Investments has declined in each of the last four years, with a five-year compound annual growth rate of -18.3% (FY2012 to FY2017).
- Going back by year, Long-Term Investments was $70.56 million in FY2016 (-20.2%), $88.47 million in FY2015 (-2.2%), $90.45 million in FY2014 (-0.9%) and $91.27 million in FY2013 (+12.4%).
- The Q2 2018 figure represents the lowest quarterly Long-Term Investments in data going back to Q1 2010.
- Year-over-year, Long-Term Investments has declined for seven consecutive quarters, with an average decline of 48.7% over the last eight quarters.
- The fastest year-over-year change in Long-Term Investments over five years came in Q3 2013 (growth of 16.3%), and the weakest in Q3 2014 (a decline of 97.2%).
- Business Quant data shows SHOO's Long-Term Investments at $20.51 million (Q1 2018), $29.52 million (Q4 2017) and $33.84 million (Q3 2017) in the three quarters before Q2 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 177.30 Mn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | - |
| 10 | Steven Madden | 3.34 Bn | 2.98 Bn | 309.66 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 2.12 Mn |
| Mar 31, 2018 | 20.51 Mn |
| Dec 31, 2017 | 29.52 Mn |
| Sep 30, 2017 | 33.84 Mn |
| Jun 30, 2017 | 41.87 Mn |
| Mar 31, 2017 | 53.30 Mn |
| Dec 31, 2016 | 70.56 Mn |
| Sep 30, 2016 | 90.44 Mn |
| Jun 30, 2016 | 90.14 Mn |
| Mar 31, 2016 | 87.58 Mn |
| Dec 31, 2015 | 88.47 Mn |
| Sep 30, 2015 | 89.71 Mn |
| Jun 30, 2015 | 89.43 Mn |
| Mar 31, 2015 | 90.91 Mn |
| Dec 31, 2014 | 90.45 Mn |
| Sep 30, 2014 | 2.57 Mn |
| Jun 30, 2014 | 93.34 Mn |
| Mar 31, 2014 | 91.95 Mn |
| Dec 31, 2013 | 91.27 Mn |
| Sep 30, 2013 | 92.43 Mn |
Steven Madden 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=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "SHOO", "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=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();