Becton Dickinson (BDX) Gross Margin (2009 - 2026)
Becton Dickinson's Gross Margin came in at 46.46% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.83 percentage points from 47.29% a year earlier but up 0.76 percentage points from the prior quarter.
Becton Dickinson (BDX) Gross Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Becton Dickinson reported Gross Margin of 46.93%, up 2.42 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 45.44%, up 0.22 percentage points from FY2024.
- Gross Margin carries a five-year change of +3.15 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Gross Margin was 45.22% in FY2024 (+3.05 pp), 42.17% in FY2023 (-2.75 pp), 44.92% in FY2022 (-0.19 pp) and 45.12% in FY2021 (+2.82 pp).
- The five-year range for quarterly Gross Margin is 33.44% (fiscal Q4 2023) to 48.57% (fiscal Q4 2025).
- Year-over-year, Gross Margin increased in six of the last eight quarters, with an average year-over-year change of +2.28 percentage points.
- The fastest year-over-year change in Gross Margin over five years came in fiscal Q4 2024 (a gain of 12.30 percentage points), and the weakest in fiscal Q4 2023 (a drop of 10.19 percentage points).
- Business Quant data shows BDX's Gross Margin at 45.69% (Q2 2026), 45.91% (Q1 2026) and 48.57% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 40.70% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.71% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 57.64% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 67.78% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 64.99% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 68.27% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 70.71% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 77.46% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 46.46% |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 55.48% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.46% |
| Mar 31, 2026 | 45.69% |
| Dec 31, 2025 | 45.91% |
| Sep 30, 2025 | 48.57% |
| Jun 30, 2025 | 47.29% |
| Mar 31, 2025 | 41.54% |
| Dec 31, 2024 | 43.25% |
| Sep 30, 2024 | 45.74% |
| Jun 30, 2024 | 46.23% |
| Mar 31, 2024 | 45.67% |
| Dec 31, 2023 | 43.07% |
| Sep 30, 2023 | 33.44% |
| Jun 30, 2023 | 43.05% |
| Mar 31, 2023 | 46.36% |
| Dec 31, 2022 | 46.51% |
| Sep 30, 2022 | 43.63% |
| Jun 30, 2022 | 44.54% |
| Mar 31, 2022 | 44.48% |
| Dec 31, 2021 | 47.05% |
| Sep 30, 2021 | 43.04% |
Becton Dickinson Gross 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=gross-margin&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();