Boston Scientific (BSX) Non-Current Debt (2009 - 2026)
Boston Scientific's Non-Current Debt was $77 million in Q2 2020, down 95.8% from the prior quarter.
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Analysis
Boston Scientific (BSX) Non-Current Debt (2009 - 2026) Analysis & Trends
For FY2010, Non-Current Debt at Boston Scientific came in at $973 million, down 50.7% from FY2009.
- In earlier years, Non-Current Debt was $1.97 billion in FY2009.
- The Q2 2020 figure marks the lowest quarterly Non-Current Debt since Q3 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | - |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 601.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.92 Bn |
| Mar 31, 2026 | 10.99 Bn |
| Dec 31, 2025 | 11.14 Bn |
| Sep 30, 2025 | 11.12 Bn |
| Jun 30, 2025 | 11.11 Bn |
| Mar 31, 2025 | 10.53 Bn |
| Dec 31, 2024 | 8.97 Bn |
| Sep 30, 2024 | 9.23 Bn |
| Jun 30, 2024 | 8.99 Bn |
| Mar 31, 2024 | 9.53 Bn |
| Dec 31, 2023 | 8.57 Bn |
| Sep 30, 2023 | 8.39 Bn |
| Jun 30, 2023 | 8.49 Bn |
| Mar 31, 2023 | 8.50 Bn |
| Dec 31, 2022 | 8.92 Bn |
| Sep 30, 2022 | 8.56 Bn |
| Jun 30, 2022 | 8.80 Bn |
| Mar 31, 2022 | 9.07 Bn |
| Dec 31, 2021 | 8.80 Bn |
| Sep 30, 2021 | 8.82 Bn |
API Access
Boston Scientific Non-Current Debt 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=non-current-debt&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();