Boston Scientific (BSX) Change in Other Operating Assets (2020 - 2026)
Boston Scientific (BSX) posted Change in Other Operating Assets of -$19 million for Q2 2026, compared with $31 million a year earlier.
Boston Scientific (BSX) Change in Other Operating Assets (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Other Operating Assets at Boston Scientific was $67 million, down 38.0% year-over-year; for FY2025, it came in at $85 million, down 32.5% from FY2024.
- Annual Change in Other Operating Assets shows a five-year compound annual growth rate of -20.3% (FY2020 to FY2025).
- In prior years, Boston Scientific's Change in Other Operating Assets was $126 million in FY2024, -$10 million in FY2023, $209 million in FY2022 (+56.0%) and $134 million in FY2021 (-49.4%).
- The Q2 2026 figure stands as the lowest quarterly Change in Other Operating Assets since Q4 2023.
- The strongest year-over-year quarter for Change in Other Operating Assets in the past five years was Q2 2024, with growth of 407.1%; the weakest was Q2 2023, with a decline of 86.5%.
- According to Business Quant data, Change in Other Operating Assets for the three prior quarters was $109 million (Q1 2026), -$18 million (Q4 2025) and -$5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.72 Bn | 237.23 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 201.46 Bn | 171.89 Bn | 7.27 Bn | - |
| 3 | Intuitive Surgical | 168.86 Bn | 149.15 Bn | 2.08 Bn | -11.30 Mn |
| 4 | Danaher | 165.27 Bn | 144.92 Bn | 3.84 Bn | 44.00 Mn |
| 5 | Medtronic | 134.67 Bn | 99.92 Bn | 6.34 Bn | - |
| 6 | Stryker | 130.89 Bn | 117.08 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 66.33 Bn | 61.76 Bn | 3.43 Bn | 32.00 Mn |
| 8 | Becton Dickinson | 57.37 Bn | 54.52 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 57.28 Bn | 41.29 Bn | 1.35 Bn | -29.50 Mn |
| 10 | Agilent Technologies | 49.88 Bn | 42.76 Bn | 1.04 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.00 Mn |
| Jun 30, 2026 | -19.00 Mn |
| Mar 31, 2026 | 109.00 Mn |
| Dec 31, 2025 | -18.00 Mn |
| Sep 30, 2025 | -5.00 Mn |
| Jun 30, 2025 | 31.00 Mn |
| Mar 31, 2025 | 77.00 Mn |
| Dec 31, 2024 | 17.00 Mn |
| Sep 30, 2024 | -17.00 Mn |
| Jun 30, 2024 | 71.00 Mn |
| Mar 31, 2024 | 55.00 Mn |
| Dec 31, 2023 | -53.00 Mn |
| Sep 30, 2023 | -12.00 Mn |
| Jun 30, 2023 | 14.00 Mn |
| Mar 31, 2023 | 41.00 Mn |
| Dec 31, 2022 | -89.00 Mn |
| Sep 30, 2022 | 54.00 Mn |
| Jun 30, 2022 | 104.00 Mn |
| Mar 31, 2022 | 140.00 Mn |
| Dec 31, 2021 | -11.00 Mn |
Boston Scientific Change in Other Operating 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=change-in-other-operating-assets&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-assets&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();