Becton Dickinson (BDX) EBIT (2009 - 2026)
Becton Dickinson (BDX) posted EBIT of $663 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 10.3% from $739 million a year earlier but up 612.9% from the prior quarter.
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Analysis
Becton Dickinson (BDX) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Becton Dickinson was $2.48 billion, up 13.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $2.58 billion, up 7.6% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- In prior fiscal years, Becton Dickinson's EBIT was $2.4 billion in FY2024 (+13.5%), $2.11 billion in FY2023 (-7.5%), $2.28 billion in FY2022 (+1.4%) and $2.25 billion in FY2021 (+146.7%).
- Quarterly EBIT has run from a low of $93 million in fiscal Q2 2026 to a high of $1.17 billion in fiscal Q4 2025 over five years.
- On a year-over-year basis, EBIT increased in five of the last eight quarters, with growth averaging 10.1%.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q4 2025, with growth of 88.7%; the weakest was fiscal Q2 2026, with a decline of 75.7%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $93 million (Q2 2026), $552 million (Q1 2026) and $1.17 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 444.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 663.00 Mn |
| Mar 31, 2026 | 93.00 Mn |
| Dec 31, 2025 | 552.00 Mn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 739.00 Mn |
| Mar 31, 2025 | 383.00 Mn |
| Dec 31, 2024 | 453.00 Mn |
| Sep 30, 2024 | 622.00 Mn |
| Jun 30, 2024 | 602.00 Mn |
| Mar 31, 2024 | 734.00 Mn |
| Dec 31, 2023 | 439.00 Mn |
| Sep 30, 2023 | 349.00 Mn |
| Jun 30, 2023 | 549.00 Mn |
| Mar 31, 2023 | 628.00 Mn |
| Dec 31, 2022 | 585.00 Mn |
| Sep 30, 2022 | 489.00 Mn |
| Jun 30, 2022 | 537.00 Mn |
| Mar 31, 2022 | 564.00 Mn |
| Dec 31, 2021 | 692.00 Mn |
| Sep 30, 2021 | 380.00 Mn |
API Access
Becton Dickinson EBIT 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=ebit&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();