Becton Dickinson (BDX) Enterprise Value (2009 - 2026)
Becton Dickinson (BDX) recorded Enterprise Value of $40.51 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 6.4% from $38.06 billion a year earlier but down 4.7% from the prior quarter.
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Analysis
Becton Dickinson (BDX) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Becton Dickinson's Enterprise Value came in at $38.37 billion as of Jun 30, 2026, up 11.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $41.42 billion, down 21.3% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Across earlier fiscal years, Enterprise Value came in at $52.64 billion in FY2024 (-8.6%), $57.6 billion in FY2023 (+18.5%), $48.63 billion in FY2022 (-5.1%) and $51.25 billion in FY2021 (+4.8%).
- Quarterly Enterprise Value has ranged from $38.06 billion in fiscal Q3 2025 to $59.28 billion in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Enterprise Value rose in 1 of the last eight quarters, with an average decline of 10.8%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 18.5% in fiscal Q4 2023, against a decline of 21.3% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $42.51 billion (Q2 2026), $42.69 billion (Q1 2026) and $41.42 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.51 Bn |
| Mar 31, 2026 | 42.51 Bn |
| Dec 31, 2025 | 42.69 Bn |
| Sep 30, 2025 | 41.42 Bn |
| Jun 30, 2025 | 38.06 Bn |
| Mar 31, 2025 | 50.93 Bn |
| Dec 31, 2024 | 50.49 Bn |
| Sep 30, 2024 | 52.64 Bn |
| Jun 30, 2024 | 47.80 Bn |
| Mar 31, 2024 | 53.05 Bn |
| Dec 31, 2023 | 54.20 Bn |
| Sep 30, 2023 | 57.60 Bn |
| Jun 30, 2023 | 59.28 Bn |
| Mar 31, 2023 | 53.29 Bn |
| Dec 31, 2022 | 56.15 Bn |
| Sep 30, 2022 | 48.63 Bn |
| Jun 30, 2022 | 52.70 Bn |
| Mar 31, 2022 | 55.00 Bn |
| Dec 31, 2021 | 53.02 Bn |
| Sep 30, 2021 | 51.25 Bn |
API Access
Becton Dickinson Enterprise Value 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=enterprise-value&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();