Boston Scientific (BSX) EV to EBITDA (2020 - 2026)
Boston Scientific's (BSX) EV to EBITDA was 11.06 for Q2 2026, down 68.9% from 35.59 a year earlier and down 37.7% from the prior quarter.
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Analysis
Boston Scientific (BSX) EV to EBITDA (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Boston Scientific's EV to EBITDA came in at 10.22, down 70.6% year-over-year; for FY2025, it was 28.06, down 17.3% from FY2024.
- By year, EV to EBITDA came in at 33.95 in FY2024 (+42.7%), 23.79 in FY2023 (+1.2%), 23.50 in FY2022 (-8.2%) and 25.60 in FY2021 (-45.7%).
- The Q2 2026 figure ranks as the lowest quarterly EV to EBITDA in data going back to Q4 2020.
- Year over year, EV to EBITDA has now declined in each of the last four quarters, with an average decline of 1.0% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was Q4 2024 (growth of 42.7%); the low point was Q2 2026 (a decline of 68.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 17.75 (Q1 2026), 28.06 (Q4 2025) and 29.85 (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.06 |
| Mar 31, 2026 | 17.75 |
| Dec 31, 2025 | 28.06 |
| Sep 30, 2025 | 29.85 |
| Jun 30, 2025 | 35.59 |
| Mar 31, 2025 | 35.94 |
| Dec 31, 2024 | 33.95 |
| Sep 30, 2024 | 32.37 |
| Jun 30, 2024 | 29.93 |
| Mar 31, 2024 | 26.79 |
| Dec 31, 2023 | 23.79 |
| Sep 30, 2023 | 22.96 |
| Jun 30, 2023 | 26.46 |
| Mar 31, 2023 | 24.85 |
| Dec 31, 2022 | 23.50 |
| Sep 30, 2022 | 21.55 |
| Jun 30, 2022 | 20.61 |
| Mar 31, 2022 | 26.31 |
| Dec 31, 2021 | 25.60 |
| Sep 30, 2021 | 27.71 |
API Access
Boston Scientific 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=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BSX", "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=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();