Boston Scientific (BSX) Other Accumulated Expenses (2009 - 2026)
Boston Scientific (BSX) posted Other Accumulated Expenses of $732 million for Q2 2026, down 23.1% from $952 million a year earlier and down 16.3% from the prior quarter.
Powered by 
Analysis
Boston Scientific (BSX) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific's Other Accumulated Expenses came in at $795 million, down 10.4% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In prior years, Boston Scientific's Other Accumulated Expenses was $887 million in FY2024 (+9.0%), $814 million in FY2023 (+7.0%), $761 million in FY2022 (-2.8%) and $783 million in FY2021 (-18.3%).
- The Q2 2026 figure stands as the lowest quarterly Other Accumulated Expenses since Q3 2021.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last four quarters, with growth averaging 0.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2022, with growth of 46.7%; the weakest was Q1 2023, with a decline of 23.9%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $875 million (Q1 2026), $795 million (Q4 2025) and $862 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 732.00 Mn |
| Mar 31, 2026 | 875.00 Mn |
| Dec 31, 2025 | 795.00 Mn |
| Sep 30, 2025 | 862.00 Mn |
| Jun 30, 2025 | 952.00 Mn |
| Mar 31, 2025 | 923.00 Mn |
| Dec 31, 2024 | 887.00 Mn |
| Sep 30, 2024 | 891.00 Mn |
| Jun 30, 2024 | 770.00 Mn |
| Mar 31, 2024 | 827.00 Mn |
| Dec 31, 2023 | 814.00 Mn |
| Sep 30, 2023 | 882.00 Mn |
| Jun 30, 2023 | 940.00 Mn |
| Mar 31, 2023 | 787.00 Mn |
| Dec 31, 2022 | 761.00 Mn |
| Sep 30, 2022 | 752.00 Mn |
| Jun 30, 2022 | 784.00 Mn |
| Mar 31, 2022 | 1.03 Bn |
| Dec 31, 2021 | 783.00 Mn |
| Sep 30, 2021 | 669.00 Mn |
API Access
Boston Scientific Other Accumulated Expenses 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=other-accumulated-expenses&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();