Becton Dickinson (BDX) EBT (2009 - 2026)
Becton Dickinson (BDX) posted EBT of $554 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.6% from $569 million a year earlier.
Becton Dickinson (BDX) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Becton Dickinson was $1.96 billion, up 23.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.88 billion, down 6.2% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- In prior fiscal years, Becton Dickinson's EBT was $2.01 billion in FY2024 (+20.6%), $1.66 billion in FY2023 (-6.8%), $1.78 billion in FY2022 (+5.4%) and $1.69 billion in FY2021 (+308.7%).
- Quarterly EBT has run from a low of $39 million in fiscal Q2 2026 to a high of $975 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, EBT increased in four of the last eight quarters, with growth averaging 18.7%.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q4 2024, with growth of 184.0%; the weakest was fiscal Q2 2026, with a decline of 80.6%.
- According to Business Quant data, EBT for the three prior fiscal quarters was $39 million (Q2 2026), $393 million (Q1 2026) and $975 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 1.92 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.52 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.08 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.05 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.77 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.56 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.06 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 554.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 519.80 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 444.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 554.00 Mn |
| Mar 31, 2026 | 39.00 Mn |
| Dec 31, 2025 | 393.00 Mn |
| Sep 30, 2025 | 975.00 Mn |
| Jun 30, 2025 | 569.00 Mn |
| Mar 31, 2025 | 201.00 Mn |
| Dec 31, 2024 | 306.00 Mn |
| Sep 30, 2024 | 514.00 Mn |
| Jun 30, 2024 | 500.00 Mn |
| Mar 31, 2024 | 633.00 Mn |
| Dec 31, 2023 | 359.00 Mn |
| Sep 30, 2023 | 181.00 Mn |
| Jun 30, 2023 | 471.00 Mn |
| Mar 31, 2023 | 529.00 Mn |
| Dec 31, 2022 | 481.00 Mn |
| Sep 30, 2022 | 320.00 Mn |
| Jun 30, 2022 | 421.00 Mn |
| Mar 31, 2022 | 442.00 Mn |
| Dec 31, 2021 | 600.00 Mn |
| Sep 30, 2021 | 151.00 Mn |
Becton Dickinson EBT 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=ebt&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();