Baxter International (BAX) Dividends payables (2009 - 2018)
Baxter International (BAX) reported Dividends payables of $101 million for Q4 2018, up 16.1% from $87 million a year earlier.
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Analysis
Baxter International (BAX) Dividends payables (2009 - 2018) Analysis & Trends
Dating back to Q4 2009, Baxter International's Dividends payables record includes 9 quarters.
- Dividends payables has a five-year compound annual growth rate of -17.6% (FY2013 to FY2018).
- By year, Dividends payables came in at $87 million in FY2017 (+24.3%), $70 million in FY2016 (-48.9%), $137 million in FY2015 (-62.3%) and $363 million in FY2014 (+36.5%).
- The Q4 2018 figure ranks as the highest quarterly Dividends payables since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.09 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 338.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Baxter International | 12.41 Bn | 4.52 Bn | 1.03 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 101.00 Mn |
| Dec 31, 2017 | 87.00 Mn |
| Dec 31, 2016 | 70.00 Mn |
| Dec 31, 2015 | 137.00 Mn |
| Dec 31, 2014 | 363.00 Mn |
| Dec 31, 2013 | 266.00 Mn |
| Dec 31, 2012 | 246.00 Mn |
| Dec 31, 2010 | 180.00 Mn |
| Dec 31, 2009 | 174.00 Mn |
API Access
Baxter International Dividends payables 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=dividends-payables&ticker=BAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();