Baxter International (BAX) Other Accumulated Expenses (2009 - 2018)
Baxter International's Other Accumulated Expenses came in at $725 million for Q4 2018, up 1.1% from $717 million a year earlier.
Analysis
Baxter International (BAX) Other Accumulated Expenses (2009 - 2018) Analysis & Trends
Going back to Q4 2009, Baxter International's Other Accumulated Expenses data covers 10 quarters.
- Other Accumulated Expenses has increased in each of the last four years, though with a five-year compound annual growth rate of -4.7% (FY2013 to FY2018).
- Going back by year, Other Accumulated Expenses was $717 million in FY2017 (+8.5%), $661 million in FY2016 (+4.3%), $634 million in FY2015 (+13.2%) and $560 million in FY2014 (-39.3%).
- The Q4 2018 figure represents the highest quarterly Other Accumulated Expenses since Q4 2013.
Peer Set
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 | Baxter International | 12.14 Bn | 4.25 Bn | 1.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 725.00 Mn |
| Dec 31, 2017 | 717.00 Mn |
| Dec 31, 2016 | 661.00 Mn |
| Dec 31, 2015 | 634.00 Mn |
| Dec 31, 2014 | 560.00 Mn |
| Dec 31, 2013 | 923.00 Mn |
| Dec 31, 2012 | 870.00 Mn |
| Dec 31, 2011 | 47.00 Mn |
| Dec 31, 2010 | 155.00 Mn |
| Dec 31, 2009 | 201.00 Mn |
API Access
Baxter International 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=BAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "BAX", "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=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();