Boston Scientific (BSX) Non-Current Assets (2009 - 2026)
Boston Scientific's Non-Current Assets came in at $37.24 billion for Q2 2026, up 8.1% from $34.44 billion a year earlier and up 4.4% from the prior quarter.
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Analysis
Boston Scientific (BSX) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific's Non-Current Assets was $34.88 billion, up 7.4% from FY2024.
- Non-Current Assets has increased in each of the last five years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $32.48 billion in FY2024 (+13.5%), $28.62 billion in FY2023 (+7.2%), $26.71 billion in FY2022 (+3.1%) and $25.91 billion in FY2021 (+7.6%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q2 2009.
- Year-over-year, Non-Current Assets has increased for 13 consecutive quarters, with growth averaging 12.5% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2025 (growth of 22.5%), and the weakest in Q1 2023 (a decline of 0.3%).
- Business Quant data shows BSX's Non-Current Assets at $35.67 billion (Q1 2026), $34.88 billion (Q4 2025) and $34.67 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | 9.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.24 Bn |
| Mar 31, 2026 | 35.67 Bn |
| Dec 31, 2025 | 34.88 Bn |
| Sep 30, 2025 | 34.67 Bn |
| Jun 30, 2025 | 34.44 Bn |
| Mar 31, 2025 | 32.81 Bn |
| Dec 31, 2024 | 32.48 Bn |
| Sep 30, 2024 | 29.32 Bn |
| Jun 30, 2024 | 28.12 Bn |
| Mar 31, 2024 | 28.48 Bn |
| Dec 31, 2023 | 28.62 Bn |
| Sep 30, 2023 | 27.54 Bn |
| Jun 30, 2023 | 27.72 Bn |
| Mar 31, 2023 | 27.19 Bn |
| Dec 31, 2022 | 26.71 Bn |
| Sep 30, 2022 | 26.80 Bn |
| Jun 30, 2022 | 27.11 Bn |
| Mar 31, 2022 | 27.27 Bn |
| Dec 31, 2021 | 25.91 Bn |
| Sep 30, 2021 | 25.65 Bn |
API Access
Boston Scientific Non-Current Assets 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-assets&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();