Becton Dickinson (BDX) Liabilities from Discontinued Operations (2010 - 2025)
Becton Dickinson (BDX) recorded Liabilities from Discontinued Operations of $342 million in fiscal Q4 2025 (quarter ended Sep 30, 2025).
Becton Dickinson (BDX) Liabilities from Discontinued Operations (2010 - 2025) Analysis & Trends
Starting with fiscal Q3 2010, Becton Dickinson's Liabilities from Discontinued Operations history includes 6 quarters.
- Annual Liabilities from Discontinued Operations has a four-year compound annual growth rate of 111.8% (FY2021 to FY2025).
- Across earlier fiscal years, Liabilities from Discontinued Operations came in at $17 million in FY2021.
- The fiscal Q4 2025 figure is the lowest quarterly Liabilities from Discontinued Operations since fiscal Q4 2021.
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 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 342.00 Mn |
| Sep 30, 2021 | 17.00 Mn |
| Sep 30, 2016 | 189.00 Mn |
| Jun 30, 2016 | 195.00 Mn |
| Mar 31, 2016 | 202.00 Mn |
| Jun 30, 2010 | 13.61 Mn |
Becton Dickinson Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();