Becton Dickinson (BDX) Shares Outstanding (2009 - 2026)
Becton Dickinson (BDX) reported Shares Outstanding of 274.79 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.3% from 287.17 million a year earlier and down 2.1% from the prior quarter.
Becton Dickinson (BDX) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Becton Dickinson posted Shares Outstanding of 287.65 million, down 0.7% from FY2024.
- Shares Outstanding has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By fiscal year, Shares Outstanding came in at 289.76 million in FY2024 (+1.2%), 286.28 million in FY2023 (+0.4%), 285.01 million in FY2022 (-1.5%) and 289.29 million in FY2021 (+3.7%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Shares Outstanding since fiscal Q2 2020.
- Year over year, Shares Outstanding has now declined in each of the last seven quarters, with an average decline of 1.2% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was fiscal Q4 2021 (growth of 3.7%); the low point was fiscal Q3 2026 (a decline of 4.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 280.64 million (Q2 2026), 285.58 million (Q1 2026) and 287.65 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 705.30 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 354.10 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 383.50 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 274.79 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 576.40 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 282.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 274.79 Mn |
| Mar 31, 2026 | 280.64 Mn |
| Dec 31, 2025 | 285.58 Mn |
| Sep 30, 2025 | 287.65 Mn |
| Jun 30, 2025 | 287.17 Mn |
| Mar 31, 2025 | 287.29 Mn |
| Dec 31, 2024 | 289.51 Mn |
| Sep 30, 2024 | 289.76 Mn |
| Jun 30, 2024 | 289.56 Mn |
| Mar 31, 2024 | 289.52 Mn |
| Dec 31, 2023 | 290.11 Mn |
| Sep 30, 2023 | 286.28 Mn |
| Jun 30, 2023 | 286.32 Mn |
| Mar 31, 2023 | 284.29 Mn |
| Dec 31, 2022 | 283.89 Mn |
| Sep 30, 2022 | 285.01 Mn |
| Jun 30, 2022 | 285.44 Mn |
| Mar 31, 2022 | 285.24 Mn |
| Dec 31, 2021 | 284.69 Mn |
| Sep 30, 2021 | 289.29 Mn |
Becton Dickinson Shares Outstanding 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=shares-outstanding&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();