Becton Dickinson (BDX) EV to EBITDA (2009 - 2026)
Becton Dickinson's (BDX) EV to EBITDA stood at 8.14 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 3.1% from 8.40 a year earlier and down 3.0% from the prior quarter.
Becton Dickinson (BDX) EV to EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Becton Dickinson's EV to EBITDA came in at 7.71 as of Jun 30, 2026, up 1.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was 8.22, down 26.9% from FY2024.
- Across earlier fiscal years, EV to EBITDA came in at 11.24 in FY2024 (-14.2%), 13.09 in FY2023 (+21.5%), 10.78 in FY2022 (-5.8%) and 11.44 in FY2021 (-29.2%).
- Quarterly EV to EBITDA has ranged from 7.88 in fiscal Q4 2025 to 13.09 in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for nine consecutive quarters, with an average decline of 18.0% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 21.5% in fiscal Q4 2023, against a decline of 33.6% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 8.39 (Q2 2026), 7.96 (Q1 2026) and 7.88 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.14 |
| Mar 31, 2026 | 8.39 |
| Dec 31, 2025 | 7.96 |
| Sep 30, 2025 | 7.88 |
| Jun 30, 2025 | 8.40 |
| Mar 31, 2025 | 11.61 |
| Dec 31, 2024 | 10.64 |
| Sep 30, 2024 | 11.24 |
| Jun 30, 2024 | 10.84 |
| Mar 31, 2024 | 12.16 |
| Dec 31, 2023 | 12.76 |
| Sep 30, 2023 | 13.09 |
| Jun 30, 2023 | 13.08 |
| Mar 31, 2023 | 11.83 |
| Dec 31, 2022 | 12.69 |
| Sep 30, 2022 | 10.78 |
| Jun 30, 2022 | 11.97 |
| Mar 31, 2022 | 12.68 |
| Dec 31, 2021 | 12.57 |
| Sep 30, 2021 | 10.73 |
Becton Dickinson EV to 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=ev-to-ebitda&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();