Baxter International (BAX) Pension (2009 - 2018)
Baxter International (BAX) recorded Pension of $1.11 billion in Q4 2018, down 8.1% from $1.21 billion a year earlier.
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Analysis
Baxter International (BAX) Pension (2009 - 2018) Analysis & Trends
Starting with Q4 2009, Baxter International's Pension history includes 10 quarters.
- Annual Pension has declined for four straight years, with a five-year compound annual growth rate of -11.5% (FY2013 to FY2018).
- Across earlier years, Pension came in at $1.21 billion in FY2017 (-18.8%), $1.49 billion in FY2016 (-26.9%), $2.04 billion in FY2015 (-7.1%) and $2.2 billion in FY2014 (+7.3%).
- The Q4 2018 figure is the lowest quarterly Pension in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 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 | 1.11 Bn |
| Dec 31, 2017 | 1.21 Bn |
| Dec 31, 2016 | 1.49 Bn |
| Dec 31, 2015 | 2.04 Bn |
| Dec 31, 2014 | 2.20 Bn |
| Dec 31, 2013 | 2.05 Bn |
| Dec 31, 2012 | 2.43 Bn |
| Dec 31, 2011 | 1.87 Bn |
| Dec 31, 2010 | 1.52 Bn |
| Dec 31, 2009 | 1.69 Bn |
API Access
Baxter International Pension 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=pension&ticker=BAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();