Boston Scientific (BSX) Price to Earnings (2011 - 2026)
Boston Scientific's (BSX) Price to Earnings stood at 16.83 in Q2 2026, down 73.5% from 63.53 a year earlier and down 35.7% from the prior quarter.
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Analysis
Boston Scientific (BSX) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Boston Scientific's Price to Earnings came in at 48.82, down 31.4% from FY2024.
- Across earlier years, Price to Earnings came in at 71.14 in FY2024 (+31.7%), 54.02 in FY2023 (-47.8%), 103.41 in FY2022 (+68.1%) and 61.53 in FY2021.
- The Q2 2026 figure is the lowest quarterly Price to Earnings since Q3 2020.
- On a year-over-year basis, Price to Earnings has declined for four consecutive quarters, with an average decline of 15.6% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 278.6% in Q3 2021, against a decline of 73.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 26.16 (Q1 2026), 48.82 (Q4 2025) and 51.86 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.06 Bn | 41.94 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.83 |
| Mar 31, 2026 | 26.16 |
| Dec 31, 2025 | 48.82 |
| Sep 30, 2025 | 51.86 |
| Jun 30, 2025 | 63.53 |
| Mar 31, 2025 | 73.45 |
| Dec 31, 2024 | 71.14 |
| Sep 30, 2024 | 68.88 |
| Jun 30, 2024 | 62.00 |
| Mar 31, 2024 | 57.02 |
| Dec 31, 2023 | 53.99 |
| Sep 30, 2023 | 64.89 |
| Jun 30, 2023 | 91.99 |
| Mar 31, 2023 | 85.02 |
| Dec 31, 2022 | 103.25 |
| Sep 30, 2022 | 92.92 |
| Jun 30, 2022 | 64.44 |
| Mar 31, 2022 | 83.97 |
| Dec 31, 2021 | 61.59 |
| Sep 30, 2021 | 56.21 |
API Access
Boston Scientific Price to Earnings 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=price-to-earnings&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();