Boston Scientific (BSX) Short-Term Debt repayments (2019 - 2026)
Boston Scientific (BSX) recorded Short-Term Debt repayments of $13 million in Q2 2026, down 97.4% from $500 million a year earlier and down 95.0% from the prior quarter.
Boston Scientific (BSX) Short-Term Debt repayments (2019 - 2026) Analysis & Trends
On a TTM basis, Boston Scientific's Short-Term Debt repayments came in at $284 million as of Jun 30, 2026, down 82.1% year-over-year; for FY2025, it was $1.6 billion, up 216.5% from FY2024.
- Annual Short-Term Debt repayments has a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- Across earlier years, Short-Term Debt repayments came in at $504 million in FY2024 and $250 million in FY2022.
- Quarterly Short-Term Debt repayments has ranged from $12 million in Q3 2025 to $1.08 billion in Q1 2025 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 13.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.00 Mn |
| Mar 31, 2026 | 259.00 Mn |
| Sep 30, 2025 | 12.00 Mn |
| Jun 30, 2025 | 500.00 Mn |
| Mar 31, 2025 | 1.08 Bn |
| Mar 31, 2024 | 504.00 Mn |
| Mar 31, 2022 | 250.00 Mn |
| Sep 30, 2020 | 250.00 Mn |
| Jun 30, 2020 | 2.40 Bn |
| Mar 31, 2020 | 300.00 Mn |
| Mar 31, 2019 | 1.00 Bn |
Boston Scientific Short-Term Debt repayments 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=short-term-debt-repayments&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();