Becton Dickinson (BDX) EBITDA (2009 - 2026)
Becton Dickinson's EBITDA came in at $1.23 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.6% from $1.31 billion a year earlier but up 87.0% from the prior quarter.
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Analysis
Becton Dickinson (BDX) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Becton Dickinson reported EBITDA of $4.98 billion, up 9.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $5.04 billion, up 7.6% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $4.68 billion in FY2024 (+6.5%), $4.4 billion in FY2023 (-2.5%), $4.51 billion in FY2022 (+0.7%) and $4.48 billion in FY2021 (+48.0%).
- The five-year range for quarterly EBITDA is $656 million (fiscal Q2 2026) to $1.93 billion (fiscal Q4 2025).
- Year-over-year, EBITDA increased in five of the last eight quarters, with growth averaging 6.5%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2021 (growth of 388.3%), and the weakest in fiscal Q1 2022 (a decline of 31.1%).
- Business Quant data shows BDX's EBITDA at $656 million (Q2 2026), $1.17 billion (Q1 2026) and $1.93 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Bn |
| Mar 31, 2026 | 656.00 Mn |
| Dec 31, 2025 | 1.17 Bn |
| Sep 30, 2025 | 1.93 Bn |
| Jun 30, 2025 | 1.31 Bn |
| Mar 31, 2025 | 950.00 Mn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.21 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.31 Bn |
| Dec 31, 2023 | 1.00 Bn |
| Sep 30, 2023 | 936.00 Mn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 1.19 Bn |
| Dec 31, 2022 | 1.15 Bn |
| Sep 30, 2022 | 1.07 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.11 Bn |
| Dec 31, 2021 | 1.24 Bn |
| Sep 30, 2021 | 962.00 Mn |
API Access
Becton Dickinson EBITDA 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=ebitda&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();