Boston Scientific (BSX) Divestments (2009 - 2022)
Boston Scientific (BSX) recorded Divestments of $5 million in FY2022, down 99.4% from $826 million in FY2021.
Analysis
Boston Scientific (BSX) Divestments (2009 - 2022) Analysis & Trends
Starting with FY2009, Boston Scientific's Divestments history includes 9 years.
- Annual Divestments has a three-year compound annual growth rate of -61.8% (FY2019 to FY2022).
- The FY2022 figure is the lowest annual Divestments in data going back to FY2009.
- Per Business Quant data, BSX's Divestments was $826 million in FY2021, $15 million in FY2020 (-83.3%) and $90 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 5.00 Mn |
| Dec 31, 2021 | 25.00 Mn |
| Mar 31, 2021 | 801.00 Mn |
| Jun 30, 2020 | 15.00 Mn |
| Sep 30, 2019 | 90.00 Mn |
| Dec 31, 2014 | 18.00 Mn |
| Mar 31, 2014 | 12.00 Mn |
| Dec 31, 2013 | -20.00 Mn |
| Sep 30, 2013 | 28.00 Mn |
| Jun 30, 2013 | 28.00 Mn |
| Sep 30, 2012 | 10.00 Mn |
| Dec 31, 2011 | 24.00 Mn |
| Sep 30, 2011 | 9.00 Mn |
| Jun 30, 2011 | 1.00 Mn |
| Mar 31, 2011 | 1.42 Bn |
| Dec 31, 2009 | 40.00 Mn |
API Access
Boston Scientific Divestments 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=divestments&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "ticker": "BSX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=divestments&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();