Boston Scientific (BSX) Times Interest Earned (2009 - 2026)
Boston Scientific's (BSX) Times Interest Earned stood at 12.27 in Q2 2026, up 34.8% from 9.10 a year earlier and up 0.3% from the prior quarter.
Boston Scientific (BSX) Times Interest Earned (2009 - 2026) Analysis & Trends
On a TTM basis, Boston Scientific's Times Interest Earned came in at 11.44 as of Jun 30, 2026, up 20.3% year-over-year; for FY2025, it was 10.35, up 21.3% from FY2024.
- Across earlier years, Times Interest Earned came in at 8.53 in FY2024 (-3.5%), 8.84 in FY2023 (+152.0%), 3.51 in FY2022 (-0.2%) and 3.52 in FY2021.
- The Q2 2026 figure is the highest quarterly Times Interest Earned in data going back to Q1 2009.
- On a year-over-year basis, Times Interest Earned has increased for six consecutive quarters, with growth averaging 14.3% over the last eight quarters.
- Peak year-over-year performance for Times Interest Earned in the last five years was growth of 408.4% in Q1 2023, against a decline of 63.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.23 (Q1 2026), 9.17 (Q4 2025) and 12.05 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.20 |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.82 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 10.53 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.48 |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 11.77 |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 12.27 |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 5.02 |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 15.31 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.27 |
| Mar 31, 2026 | 12.23 |
| Dec 31, 2025 | 9.17 |
| Sep 30, 2025 | 12.05 |
| Jun 30, 2025 | 9.10 |
| Mar 31, 2025 | 11.23 |
| Dec 31, 2024 | 8.44 |
| Sep 30, 2024 | 9.28 |
| Jun 30, 2024 | 6.75 |
| Mar 31, 2024 | 9.78 |
| Dec 31, 2023 | 8.98 |
| Sep 30, 2023 | 10.50 |
| Jun 30, 2023 | 7.34 |
| Mar 31, 2023 | 8.49 |
| Dec 31, 2022 | 6.28 |
| Sep 30, 2022 | 5.68 |
| Jun 30, 2022 | 6.61 |
| Mar 31, 2022 | 1.67 |
| Dec 31, 2021 | 2.07 |
| Sep 30, 2021 | 4.50 |
Boston Scientific Times Interest Earned 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=times-interest-earned&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();