Boston Scientific (BSX) Total Non-Current Liabilities (2009 - 2026)
Boston Scientific (BSX) reported Total Non-Current Liabilities of $17.56 billion for Q2 2026, up 6.3% from $16.52 billion a year earlier and up 11.3% from the prior quarter.
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Analysis
Boston Scientific (BSX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific posted Total Non-Current Liabilities of $16.8 billion, up 8.2% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $15.52 billion in FY2024 (+13.8%), $13.64 billion in FY2023 (+6.0%), $12.86 billion in FY2022 (-3.9%) and $13.39 billion in FY2021 (+1.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 13 quarters, with growth averaging 9.4% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2024 (growth of 17.0%); the low point was Q1 2023 (a decline of 6.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.78 billion (Q1 2026), $16.8 billion (Q4 2025) and $16.69 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 6.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.56 Bn |
| Mar 31, 2026 | 15.78 Bn |
| Dec 31, 2025 | 16.80 Bn |
| Sep 30, 2025 | 16.69 Bn |
| Jun 30, 2025 | 16.52 Bn |
| Mar 31, 2025 | 15.75 Bn |
| Dec 31, 2024 | 15.52 Bn |
| Sep 30, 2024 | 15.28 Bn |
| Jun 30, 2024 | 14.70 Bn |
| Mar 31, 2024 | 14.58 Bn |
| Dec 31, 2023 | 13.64 Bn |
| Sep 30, 2023 | 13.06 Bn |
| Jun 30, 2023 | 13.19 Bn |
| Mar 31, 2023 | 12.79 Bn |
| Dec 31, 2022 | 12.86 Bn |
| Sep 30, 2022 | 12.39 Bn |
| Jun 30, 2022 | 12.95 Bn |
| Mar 31, 2022 | 13.60 Bn |
| Dec 31, 2021 | 13.39 Bn |
| Sep 30, 2021 | 13.12 Bn |
API Access
Boston Scientific Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();