Becton Dickinson (BDX) Accumulated Expenses (2009 - 2025)
Becton Dickinson's Accumulated Expenses was $3.1 billion in fiscal Q4 2025 (quarter ended Sep 30, 2025), down 10.7% from $3.48 billion a year earlier.
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Analysis
Becton Dickinson (BDX) Accumulated Expenses (2009 - 2025) Analysis & Trends
From fiscal Q4 2009 onward, Becton Dickinson has reported Accumulated Expenses for 17 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $3.48 billion in FY2024 (+33.5%), $2.6 billion in FY2023 (unchanged), $2.61 billion in FY2022 (-9.1%) and $2.87 billion in FY2021 (+8.7%).
- The fiscal Q4 2025 figure marks the lowest quarterly Accumulated Expenses since fiscal Q4 2023.
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 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3.10 Bn |
| Sep 30, 2024 | 3.48 Bn |
| Sep 30, 2023 | 2.60 Bn |
| Sep 30, 2022 | 2.61 Bn |
| Sep 30, 2021 | 2.87 Bn |
| Sep 30, 2020 | 2.64 Bn |
| Sep 30, 2019 | 2.13 Bn |
| Sep 30, 2018 | 2.26 Bn |
| Sep 30, 2017 | 1.39 Bn |
| Sep 30, 2016 | 1.58 Bn |
| Sep 30, 2015 | 1.62 Bn |
| Sep 30, 2014 | 1.05 Bn |
| Sep 30, 2013 | 1.07 Bn |
| Sep 30, 2012 | 741.00 Mn |
| Sep 30, 2011 | 795.22 Mn |
| Sep 30, 2010 | 661.11 Mn |
| Sep 30, 2009 | 646.54 Mn |
API Access
Becton Dickinson Accumulated Expenses 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=accumulated-expenses&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();