Boston Scientific (BSX) EBITDA (2020 - 2026)
Boston Scientific's EBITDA was $1.53 billion in Q2 2026, up 32.7% from $1.16 billion a year earlier and up 5.6% from the prior quarter.
Powered by 
Analysis
Boston Scientific (BSX) EBITDA (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Boston Scientific's EBITDA was $5.57 billion through Jun 30, 2026, up 24.7% year-over-year; for FY2025, it was $4.98 billion, up 28.6% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 36.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $3.87 billion in FY2024 (+9.4%), $3.54 billion in FY2023 (+27.1%), $2.79 billion in FY2022 (+21.5%) and $2.29 billion in FY2021 (+119.8%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q1 2020.
- Compared with a year earlier, EBITDA has increased for 15 straight quarters, with growth averaging 23.0% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2021 (growth of 755.8%); the worst was Q3 2022 (a decline of 2.6%).
- Per Business Quant data, BSX's EBITDA in the three quarters before Q2 2026 was $1.45 billion (Q1 2026), $1.19 billion (Q4 2025) and $1.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.53 Bn |
| Mar 31, 2026 | 1.45 Bn |
| Dec 31, 2025 | 1.19 Bn |
| Sep 30, 2025 | 1.39 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.25 Bn |
| Dec 31, 2024 | 1.02 Bn |
| Sep 30, 2024 | 1.04 Bn |
| Jun 30, 2024 | 831.00 Mn |
| Mar 31, 2024 | 979.00 Mn |
| Dec 31, 2023 | 897.00 Mn |
| Sep 30, 2023 | 993.00 Mn |
| Jun 30, 2023 | 812.00 Mn |
| Mar 31, 2023 | 837.00 Mn |
| Dec 31, 2022 | 696.00 Mn |
| Sep 30, 2022 | 642.00 Mn |
| Jun 30, 2022 | 707.00 Mn |
| Mar 31, 2022 | 740.00 Mn |
| Dec 31, 2021 | 470.00 Mn |
| Sep 30, 2021 | 659.00 Mn |
API Access
Boston Scientific 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=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();