Becton Dickinson (BDX) Buildings (2011 - 2025)
Becton Dickinson (BDX) posted Buildings of $3.9 billion for fiscal Q4 2025 (quarter ended Sep 30, 2025), up 4.3% from $3.73 billion a year earlier.
Analysis
Becton Dickinson (BDX) Buildings (2011 - 2025) Analysis & Trends
Since fiscal Q4 2011, Becton Dickinson has reported Buildings for 15 quarters.
- Annual Buildings has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior fiscal years, Becton Dickinson's Buildings was $3.73 billion in FY2024 (+5.5%), $3.54 billion in FY2023 (+8.8%), $3.25 billion in FY2022 (+3.6%) and $3.14 billion in FY2021 (+1.9%).
- The fiscal Q4 2025 figure stands as the highest quarterly Buildings in data going back to fiscal Q4 2011.
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, 2025 | 3.90 Bn |
| Sep 30, 2024 | 3.73 Bn |
| Sep 30, 2023 | 3.54 Bn |
| Sep 30, 2022 | 3.25 Bn |
| Sep 30, 2021 | 3.14 Bn |
| Sep 30, 2020 | 3.08 Bn |
| Sep 30, 2019 | 2.84 Bn |
| Sep 30, 2018 | 2.72 Bn |
| Sep 30, 2017 | 2.50 Bn |
| Sep 30, 2016 | 2.40 Bn |
| Sep 30, 2015 | 2.41 Bn |
| Sep 30, 2014 | 2.31 Bn |
| Sep 30, 2013 | 2.29 Bn |
| Sep 30, 2012 | 2.19 Bn |
| Sep 30, 2011 | 2.15 Bn |
API Access
Becton Dickinson Buildings 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=buildings&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();