Weyco (WEYS) Accumulated Expenses (2010 - 2018)
Weyco's Accumulated Expenses was $11.47 million in Q3 2018, down 6.1% from $12.21 million a year earlier but up 9.0% from the prior quarter.
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Analysis
Weyco (WEYS) Accumulated Expenses (2010 - 2018) Analysis & Trends
At the end of FY2017, Accumulated Expenses at Weyco came in at $14.03 million, up 32.7% from FY2016.
- Accumulated Expenses shows a five-year compound annual growth rate of 0.2% (FY2012 to FY2017).
- In earlier years, Accumulated Expenses was $10.57 million in FY2016 (-39.5%), $17.48 million in FY2015 (+37.1%), $12.75 million in FY2014 (+17.0%) and $10.9 million in FY2013 (-21.5%).
- Quarterly Accumulated Expenses has moved between $9.28 million (Q1 2017) and $17.48 million (Q4 2015) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with growth averaging 3.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2015 (growth of 48.1%); the worst was Q4 2016 (a decline of 39.5%).
- Per Business Quant data, WEYS's Accumulated Expenses in the three quarters before Q3 2018 was $10.52 million (Q2 2018), $11.03 million (Q1 2018) and $14.03 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 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 | Weyco | 462.36 Mn | 105.04 Mn | 43.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 11.47 Mn |
| Jun 30, 2018 | 10.52 Mn |
| Mar 31, 2018 | 11.03 Mn |
| Dec 31, 2017 | 14.03 Mn |
| Sep 30, 2017 | 12.21 Mn |
| Jun 30, 2017 | 10.55 Mn |
| Mar 31, 2017 | 9.28 Mn |
| Dec 31, 2016 | 10.57 Mn |
| Sep 30, 2016 | 10.52 Mn |
| Jun 30, 2016 | 9.54 Mn |
| Mar 31, 2016 | 9.54 Mn |
| Dec 31, 2015 | 17.48 Mn |
| Sep 30, 2015 | 16.42 Mn |
| Jun 30, 2015 | 14.21 Mn |
| Mar 31, 2015 | 14.27 Mn |
| Dec 31, 2014 | 12.75 Mn |
| Sep 30, 2014 | 11.15 Mn |
| Jun 30, 2014 | 9.60 Mn |
| Mar 31, 2014 | 9.91 Mn |
| Dec 31, 2013 | 10.90 Mn |
API Access
Weyco Accumulated Expenses 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=accumulated-expenses&ticker=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "WEYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();