Becton Dickinson (BDX) Market Capitalization (2009 - 2026)
Becton Dickinson (BDX) recorded Market Capitalization of $41.22 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 6.2% from $38.82 billion a year earlier but down 4.9% from the prior quarter.
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Analysis
Becton Dickinson (BDX) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Becton Dickinson reported Market Capitalization of $42 billion, down 23.4% from FY2024.
- Annual Market Capitalization has a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Across earlier fiscal years, Market Capitalization came in at $54.8 billion in FY2024 (-7.2%), $59.02 billion in FY2023 (+18.9%), $49.64 billion in FY2022 (-7.3%) and $53.55 billion in FY2021 (+3.5%).
- Quarterly Market Capitalization has ranged from $38.82 billion in fiscal Q3 2025 to $60.21 billion in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Market Capitalization rose in 1 of the last eight quarters, with an average decline of 12.3%.
- Peak year-over-year performance for Market Capitalization in the last five years was growth of 18.9% in fiscal Q4 2023, against a decline of 26.9% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $43.32 billion (Q2 2026), $43.44 billion (Q1 2026) and $42 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
|---|---|
| Jun 30, 2026 | 41.22 Bn |
| Mar 31, 2026 | 43.32 Bn |
| Dec 31, 2025 | 43.44 Bn |
| Sep 30, 2025 | 42.00 Bn |
| Jun 30, 2025 | 38.82 Bn |
| Mar 31, 2025 | 51.61 Bn |
| Dec 31, 2024 | 51.21 Bn |
| Sep 30, 2024 | 54.80 Bn |
| Jun 30, 2024 | 53.11 Bn |
| Mar 31, 2024 | 56.22 Bn |
| Dec 31, 2023 | 55.38 Bn |
| Sep 30, 2023 | 59.02 Bn |
| Jun 30, 2023 | 60.21 Bn |
| Mar 31, 2023 | 55.27 Bn |
| Dec 31, 2022 | 56.76 Bn |
| Sep 30, 2022 | 49.64 Bn |
| Jun 30, 2022 | 55.27 Bn |
| Mar 31, 2022 | 58.16 Bn |
| Dec 31, 2021 | 54.93 Bn |
| Sep 30, 2021 | 53.55 Bn |
API Access
Becton Dickinson Market Capitalization 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=market-capitalization&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();