Becton Dickinson (BDX) Selling, General & Administrative (2009 - 2026)
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Analysis
Becton Dickinson (BDX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.61 Bn | 239.66 Bn | 8.34 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 179.49 Bn | 174.54 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 155.49 Bn | 151.15 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 142.30 Bn | 137.21 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 116.24 Bn | 108.04 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.51 Bn | 102.03 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 65.13 Bn | 64.83 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 51.20 Bn | 47.05 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 49.86 Bn | 48.99 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Agilent Technologies | 47.16 Bn | 45.41 Bn | 1.04 Bn | 475.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Bn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.39 Bn |
| Sep 30, 2025 | 1.84 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.32 Bn |
| Sep 30, 2024 | 1.26 Bn |
| Jun 30, 2024 | 1.20 Bn |
| Mar 31, 2024 | 1.19 Bn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 1.14 Bn |
| Jun 30, 2023 | 1.19 Bn |
| Mar 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 1.19 Bn |
| Sep 30, 2022 | 1.18 Bn |
| Jun 30, 2022 | 1.15 Bn |
| Mar 31, 2022 | 1.19 Bn |
| Dec 31, 2021 | 1.19 Bn |
| Sep 30, 2021 | 1.29 Bn |
API Access
Becton Dickinson Selling, General & Administrative 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=selling-general-and-administrative&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();