Boston Scientific (BSX) Accumulated Expenses (2009 - 2026)
Boston Scientific (BSX) recorded Accumulated Expenses of $2.76 billion in Q2 2026, down 1.5% from $2.8 billion a year earlier but up 9.6% from the prior quarter.
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Analysis
Boston Scientific (BSX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific reported Accumulated Expenses of $3.2 billion, up 15.4% from FY2024.
- Annual Accumulated Expenses has increased for three straight years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $2.77 billion in FY2024 (+4.8%), $2.65 billion in FY2023 (+22.5%), $2.16 billion in FY2022 (-11.3%) and $2.44 billion in FY2021 (+10.9%).
- Quarterly Accumulated Expenses has ranged from $1.92 billion in Q1 2023 to $3.2 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 11.2%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 22.5% in Q4 2023, against a decline of 18.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.51 billion (Q1 2026), $3.2 billion (Q4 2025) and $2.98 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.76 Bn |
| Mar 31, 2026 | 2.51 Bn |
| Dec 31, 2025 | 3.20 Bn |
| Sep 30, 2025 | 2.98 Bn |
| Jun 30, 2025 | 2.80 Bn |
| Mar 31, 2025 | 2.35 Bn |
| Dec 31, 2024 | 2.77 Bn |
| Sep 30, 2024 | 2.46 Bn |
| Jun 30, 2024 | 2.32 Bn |
| Mar 31, 2024 | 2.08 Bn |
| Dec 31, 2023 | 2.65 Bn |
| Sep 30, 2023 | 2.26 Bn |
| Jun 30, 2023 | 2.16 Bn |
| Mar 31, 2023 | 1.92 Bn |
| Dec 31, 2022 | 2.16 Bn |
| Sep 30, 2022 | 1.97 Bn |
| Jun 30, 2022 | 2.20 Bn |
| Mar 31, 2022 | 2.31 Bn |
| Dec 31, 2021 | 2.44 Bn |
| Sep 30, 2021 | 2.42 Bn |
API Access
Boston Scientific 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=accumulated-expenses&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();