Edwards Lifesciences (EW) Other Accumulated Expenses (2009 - 2014)
Edwards Lifesciences' Other Accumulated Expenses was $72.6 million in Q4 2014, up 2.4% from $70.9 million a year earlier but down 12.3% from the prior quarter.
Edwards Lifesciences (EW) Other Accumulated Expenses (2009 - 2014) Analysis & Trends
From Q4 2009 onward, Edwards Lifesciences has reported Other Accumulated Expenses for 7 quarters.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 3.6% (FY2009 to FY2014).
- In earlier years, Other Accumulated Expenses was $70.9 million in FY2013 (-1.1%), $71.7 million in FY2012 (+22.8%), $58.4 million in FY2011 (-4.6%) and $61.2 million in FY2010 (+0.5%).
- Quarterly Other Accumulated Expenses has moved between $58.4 million (Q4 2011) and $82.8 million (Q3 2014) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 72.60 Mn |
| Sep 30, 2014 | 82.80 Mn |
| Dec 31, 2013 | 70.90 Mn |
| Dec 31, 2012 | 71.70 Mn |
| Dec 31, 2011 | 58.40 Mn |
| Dec 31, 2010 | 61.20 Mn |
| Dec 31, 2009 | 60.90 Mn |
Edwards Lifesciences Other 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=other-accumulated-expenses&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "EW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();