Boston Scientific (BSX) Total Current Liabilities (2009 - 2026)
Boston Scientific (BSX) posted Total Current Liabilities of $6.43 billion for Q2 2026, up 23.9% from $5.19 billion a year earlier and up 40.6% from the prior quarter.
Boston Scientific (BSX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific's Total Current Liabilities came in at $5.44 billion, down 15.0% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Boston Scientific's Total Current Liabilities was $6.4 billion in FY2024 (+29.7%), $4.93 billion in FY2023 (+29.7%), $3.8 billion in FY2022 (-11.0%) and $4.27 billion in FY2021 (+16.1%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 5.5%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2024, with growth of 29.7%; the weakest was Q4 2025, with a decline of 15.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $4.57 billion (Q1 2026), $5.44 billion (Q4 2025) and $5.33 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 2.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.43 Bn |
| Mar 31, 2026 | 4.57 Bn |
| Dec 31, 2025 | 5.44 Bn |
| Sep 30, 2025 | 5.33 Bn |
| Jun 30, 2025 | 5.19 Bn |
| Mar 31, 2025 | 5.06 Bn |
| Dec 31, 2024 | 6.40 Bn |
| Sep 30, 2024 | 5.91 Bn |
| Jun 30, 2024 | 5.58 Bn |
| Mar 31, 2024 | 4.92 Bn |
| Dec 31, 2023 | 4.93 Bn |
| Sep 30, 2023 | 4.58 Bn |
| Jun 30, 2023 | 4.56 Bn |
| Mar 31, 2023 | 4.08 Bn |
| Dec 31, 2022 | 3.80 Bn |
| Sep 30, 2022 | 3.55 Bn |
| Jun 30, 2022 | 3.88 Bn |
| Mar 31, 2022 | 4.28 Bn |
| Dec 31, 2021 | 4.27 Bn |
| Sep 30, 2021 | 4.02 Bn |
Boston Scientific Total 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-current-liabilities&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();