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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 5.20 |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 4.82 |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 10.53 |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 9.48 |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 11.77 |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 12.27 |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 5.02 |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 50.18 Bn | 43.07 Bn | 1.04 Bn | 15.31 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();