Becton Dickinson (BDX) FCF Payout Ratio (2009 - 2017)
Becton Dickinson's (BDX) FCF Payout Ratio stood at 0.45 in FY2025 (year ended Sep 30, 2025), up 27.0% from 0.35 in FY2024.
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Analysis
Becton Dickinson (BDX) FCF Payout Ratio (2009 - 2017) Analysis & Trends
Starting with FY2009, Becton Dickinson's FCF Payout Ratio history includes 17 fiscal years.
- Annual FCF Payout Ratio has ranged from 0.35 in FY2024 to 0.72 in FY2022 over the past five years.
- Per Business Quant data, BDX's FCF Payout Ratio was 0.35 in FY2024 (-33.0%), 0.53 in FY2023 (-27.1%), 0.72 in FY2022 (+102.1%) and 0.36 in FY2021 (-24.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 0.10 |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 0.55 |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | - |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 0.71 |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 0.16 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 0.23 |
| Jun 30, 2017 | 0.88 |
| Mar 31, 2017 | 0.28 |
| Dec 31, 2016 | 0.77 |
| Sep 30, 2016 | 0.34 |
| Jun 30, 2016 | 0.21 |
| Mar 31, 2016 | 0.32 |
| Dec 31, 2015 | 0.43 |
| Sep 30, 2015 | 0.27 |
| Jun 30, 2015 | 0.31 |
| Mar 31, 2015 | 1.43 |
| Dec 31, 2014 | 0.64 |
| Sep 30, 2014 | 0.37 |
| Jun 30, 2014 | 0.33 |
| Mar 31, 2014 | 0.35 |
| Dec 31, 2013 | 0.41 |
| Sep 30, 2013 | 0.18 |
| Jun 30, 2013 | 0.32 |
| Mar 31, 2013 | 0.48 |
| Dec 31, 2012 | 0.66 |
API Access
Becton Dickinson FCF Payout Ratio 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=fcf-payout-ratio&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "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=fcf-payout-ratio&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();