Becton Dickinson (BDX) Dividend Yield (2009 - 2017)
Becton Dickinson's Dividend Yield came in at 2.85% for FY2025 (year ended Sep 30, 2025), up 0.84 percentage points from 2.01% in FY2024.
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Analysis
Becton Dickinson (BDX) Dividend Yield (2009 - 2017) Analysis & Trends
Going back to FY2009, Becton Dickinson's Dividend Yield data covers 17 fiscal years.
- Dividend Yield carries a five-year change of +0.87 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Dividend Yield since FY2012.
- Per Business Quant, earlier fiscal years put Dividend Yield at 2.01% in FY2024 (+0.12 pp), 1.89% in FY2023 (-0.29 pp), 2.18% in FY2022 (+0.22 pp) and 1.96% in FY2021 (-0.03 pp).
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 |
|---|---|
| Sep 30, 2017 | 1.98% |
| Jun 30, 2017 | 1.82% |
| Mar 31, 2017 | 1.98% |
| Dec 31, 2016 | 2.14% |
| Sep 30, 2016 | 1.92% |
| Jun 30, 2016 | 1.98% |
| Mar 31, 2016 | 2.16% |
| Dec 31, 2015 | 2.03% |
| Sep 30, 2015 | 2.26% |
| Jun 30, 2015 | 2.03% |
| Mar 31, 2015 | 1.92% |
| Dec 31, 2014 | 2.09% |
| Sep 30, 2014 | 2.51% |
| Jun 30, 2014 | 2.37% |
| Mar 31, 2014 | 2.33% |
| Dec 31, 2013 | 2.41% |
| Sep 30, 2013 | 2.59% |
| Jun 30, 2013 | 2.57% |
| Mar 31, 2013 | 2.62% |
| Dec 31, 2012 | 3.17% |
API Access
Becton Dickinson Dividend Yield 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=dividend-yield&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();