Baxter International (BAX) Restructuring Costs (2010 - 2019)
Baxter International (BAX) posted Restructuring Costs of $28 million for Q4 2015, up 154.5% from $11 million a year earlier but down 69.6% from the prior quarter.
Powered by 
Analysis
Baxter International (BAX) Restructuring Costs (2010 - 2019) Analysis & Trends
For FY2015, Baxter International's Restructuring Costs came in at $130 million.
- In prior years, Baxter International's Restructuring Costs was -$6 million in FY2014 and $161 million in FY2013.
- Quarterly Restructuring Costs has run from a low of $1 million in Q3 2014 to a high of $92 million in Q3 2015 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Baxter International | 13.66 Bn | 5.52 Bn | 994.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -19.00 Mn |
| Mar 31, 2018 | -6.00 Mn |
| Dec 31, 2015 | -194.00 Mn |
| Sep 30, 2015 | 92.00 Mn |
| Dec 31, 2014 | 11.00 Mn |
| Sep 30, 2014 | 1.00 Mn |
| Dec 31, 2011 | 192.00 Mn |
| Dec 31, 2010 | 257.00 Mn |
API Access
Baxter International Restructuring Costs 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=restructuring-costs&ticker=BAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();