Becton Dickinson (BDX) Operating Margin (2009 - 2026)
Becton Dickinson's Operating Margin came in at 13.31% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.33 percentage points from 15.64% a year earlier but up 11.33 percentage points from the prior quarter.
Becton Dickinson (BDX) Operating Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Becton Dickinson reported Operating Margin of 10.68%, down 0.41 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 11.81%, down 0.07 percentage points from FY2024.
- Operating Margin carries a five-year change of +6.13 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Operating Margin was 11.88% in FY2024 (+0.98 pp), 10.90% in FY2023 (-1.20 pp), 12.09% in FY2022 (+0.33 pp) and 11.76% in FY2021 (+6.09 pp).
- The five-year range for quarterly Operating Margin is 1.97% (fiscal Q2 2026) to 15.64% (fiscal Q3 2025).
- Year-over-year, Operating Margin increased in four of the last eight quarters, with an average year-over-year change of -0.36 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q4 2021 (a gain of 14.46 percentage points), and the weakest in fiscal Q1 2022 (a drop of 8.68 percentage points).
- Business Quant data shows BDX's Operating Margin at 1.97% (Q2 2026), 10.51% (Q1 2026) and 14.14% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.31% |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | 23.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.31% |
| Mar 31, 2026 | 1.97% |
| Dec 31, 2025 | 10.51% |
| Sep 30, 2025 | 14.14% |
| Jun 30, 2025 | 15.64% |
| Mar 31, 2025 | 8.55% |
| Dec 31, 2024 | 8.77% |
| Sep 30, 2024 | 11.44% |
| Jun 30, 2024 | 12.06% |
| Mar 31, 2024 | 14.55% |
| Dec 31, 2023 | 9.33% |
| Sep 30, 2023 | 6.86% |
| Jun 30, 2023 | 11.25% |
| Mar 31, 2023 | 13.03% |
| Dec 31, 2022 | 12.76% |
| Sep 30, 2022 | 10.27% |
| Jun 30, 2022 | 11.57% |
| Mar 31, 2022 | 11.87% |
| Dec 31, 2021 | 14.67% |
| Sep 30, 2021 | 7.84% |
Becton Dickinson Operating Margin 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=operating-margin&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();