Becton Dickinson (BDX) Divestments (2012 - 2019)
Becton Dickinson (BDX) reported Divestments of $540 million for FY2023 (year ended Sep 30, 2023).
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Analysis
Becton Dickinson (BDX) Divestments (2012 - 2019) Analysis & Trends
Dating back to FY2009, Becton Dickinson's Divestments record includes 8 fiscal years.
- Divestments has a five-year compound annual growth rate of 0.2% (FY2018 to FY2023).
- The FY2023 figure ranks as the highest annual Divestments since FY2013.
- According to Business Quant data, Divestments came in at $477 million in FY2019 (-10.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.26 Bn | 237.29 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 172.13 Bn | 142.56 Bn | 7.27 Bn | - |
| 3 | Danaher | 163.58 Bn | 147.39 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.88 Bn | 131.31 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.19 Bn | 84.44 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.63 Bn | 99.75 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.06 Bn | 59.83 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.41 Bn | 50.56 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.75 Bn | 34.76 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 50.09 Bn | 42.98 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.00 Mn |
| Dec 31, 2018 | 476.00 Mn |
| Jun 30, 2018 | 435.00 Mn |
| Mar 31, 2018 | 100.00 Mn |
| Mar 31, 2017 | -2.00 Mn |
| Dec 31, 2016 | 167.00 Mn |
| Jun 30, 2016 | 47.00 Mn |
| Mar 31, 2016 | 111.00 Mn |
| Jun 30, 2013 | 16.00 Mn |
| Mar 31, 2013 | -1.00 Mn |
| Dec 31, 2012 | 721.00 Mn |
API Access
Becton Dickinson 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=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "ticker": "BDX", "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=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();