Becton Dickinson (BDX) Revenue (2009 - 2026)
Becton Dickinson's Revenue came in at $4.98 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.4% from $4.73 billion a year earlier and up 5.7% from the prior quarter.
Becton Dickinson (BDX) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Becton Dickinson reported Revenue of $23.25 billion, up 17.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $21.84 billion, up 8.2% from FY2024.
- Revenue has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Going back by fiscal year, Revenue was $20.18 billion in FY2024 (+4.2%), $19.37 billion in FY2023 (+2.7%), $18.87 billion in FY2022 (-1.4%) and $19.13 billion in FY2021 (+19.0%).
- The five-year range for quarterly Revenue is $4.48 billion (fiscal Q2 2025) to $8.3 billion (fiscal Q4 2025).
- Year-over-year, Revenue has increased for four consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in fiscal Q4 2025 (growth of 52.7%), and the weakest in fiscal Q1 2022 (a decline of 11.2%).
- Business Quant data shows BDX's Revenue at $4.71 billion (Q2 2026), $5.25 billion (Q1 2026) and $8.3 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.74 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 1.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.98 Bn |
| Mar 31, 2026 | 4.71 Bn |
| Dec 31, 2025 | 5.25 Bn |
| Sep 30, 2025 | 8.30 Bn |
| Jun 30, 2025 | 4.73 Bn |
| Mar 31, 2025 | 4.48 Bn |
| Dec 31, 2024 | 5.17 Bn |
| Sep 30, 2024 | 5.44 Bn |
| Jun 30, 2024 | 4.99 Bn |
| Mar 31, 2024 | 5.05 Bn |
| Dec 31, 2023 | 4.71 Bn |
| Sep 30, 2023 | 5.09 Bn |
| Jun 30, 2023 | 4.88 Bn |
| Mar 31, 2023 | 4.82 Bn |
| Dec 31, 2022 | 4.59 Bn |
| Sep 30, 2022 | 4.76 Bn |
| Jun 30, 2022 | 4.64 Bn |
| Mar 31, 2022 | 4.75 Bn |
| Dec 31, 2021 | 4.72 Bn |
| Sep 30, 2021 | 4.85 Bn |
Becton Dickinson Revenue 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=revenue&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();