Becton Dickinson (BDX) Net Margin (2009 - 2026)
Becton Dickinson (BDX) recorded Net Margin of 7.57% in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.58 percentage points from 12.15% a year earlier but up 14.16 percentage points from the prior quarter.
Becton Dickinson (BDX) Net Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Becton Dickinson's Net Margin came in at 4.05% as of Jun 30, 2026, down 3.95 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 7.68%, down 0.77 percentage points from FY2024.
- Annual Net Margin has a five-year change of +2.91 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Net Margin came in at 8.45% in FY2024 (+1.10 pp), 7.35% in FY2023 (-1.60 pp), 8.95% in FY2022 (-1.51 pp) and 10.46% in FY2021 (+5.69 pp).
- Quarterly Net Margin has ranged from -6.60% in fiscal Q2 2026 to 13.88% in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Net Margin rose in three of the last eight quarters, with an average year-over-year change of -1.79 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 5.23 percentage points in fiscal Q4 2024, against a drop of 13.47 percentage points in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -6.60% (Q2 2026), 7.27% (Q1 2026) and 5.94% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.89% |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 19.28% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.57% |
| Mar 31, 2026 | -6.60% |
| Dec 31, 2025 | 7.27% |
| Sep 30, 2025 | 5.94% |
| Jun 30, 2025 | 12.15% |
| Mar 31, 2025 | 6.88% |
| Dec 31, 2024 | 5.86% |
| Sep 30, 2024 | 7.36% |
| Jun 30, 2024 | 9.76% |
| Mar 31, 2024 | 10.64% |
| Dec 31, 2023 | 5.97% |
| Sep 30, 2023 | 2.12% |
| Jun 30, 2023 | 8.04% |
| Mar 31, 2023 | 9.09% |
| Dec 31, 2022 | 10.60% |
| Sep 30, 2022 | 5.57% |
| Jun 30, 2022 | 7.28% |
| Mar 31, 2022 | 9.07% |
| Dec 31, 2021 | 13.88% |
| Sep 30, 2021 | 4.99% |
Becton Dickinson Net 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=net-margin&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();