Boston Scientific (BSX) Amortization - Intangibles (2009 - 2026)
Boston Scientific (BSX) recorded Amortization - Intangibles of $234 million in Q3 2026, up 4.0% from $225 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Boston Scientific (BSX) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Boston Scientific's Amortization - Intangibles came in at $927 million as of Sep 30, 2026, up 3.7% year-over-year; for FY2025, it came in at $897 million, up 4.8% from FY2024.
- Annual Amortization - Intangibles has increased for four straight years, with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $856 million in FY2024 (+3.4%), $828 million in FY2023 (+3.1%), $803 million in FY2022 (+8.4%) and $741 million in FY2021 (-6.1%).
- The Q3 2026 figure is the highest quarterly Amortization - Intangibles in data going back to Q1 2009.
- On a year-over-year basis, Amortization - Intangibles has increased for eight consecutive quarters, with growth averaging 5.1% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 13.3% in Q2 2022, against a decline of 1.4% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $233 million (Q2 2026), $232 million (Q1 2026) and $228 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.20 Bn | 235.84 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 185.80 Bn | 160.26 Bn | 7.39 Bn |
| 3 | Danaher | 162.41 Bn | 142.07 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.25 Bn | 135.54 Bn | 2.08 Bn |
| 5 | Medtronic | 132.14 Bn | 97.65 Bn | 6.34 Bn |
| 6 | Stryker | 119.74 Bn | 105.93 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.30 Bn | 59.73 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.95 Bn | 45.15 Bn | 1.35 Bn |
| 9 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn |
| 10 | GE HealthCare Technologies | 37.40 Bn | 25.63 Bn | 2.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 234.00 Mn |
| Jun 30, 2026 | 233.00 Mn |
| Mar 31, 2026 | 232.00 Mn |
| Dec 31, 2025 | 228.00 Mn |
| Sep 30, 2025 | 225.00 Mn |
| Jun 30, 2025 | 225.00 Mn |
| Mar 31, 2025 | 219.00 Mn |
| Dec 31, 2024 | 225.00 Mn |
| Sep 30, 2024 | 205.00 Mn |
| Jun 30, 2024 | 213.00 Mn |
| Mar 31, 2024 | 214.00 Mn |
| Dec 31, 2023 | 208.00 Mn |
| Sep 30, 2023 | 208.00 Mn |
| Jun 30, 2023 | 210.00 Mn |
| Mar 31, 2023 | 203.00 Mn |
| Dec 31, 2022 | 199.00 Mn |
| Sep 30, 2022 | 202.00 Mn |
| Jun 30, 2022 | 204.00 Mn |
| Mar 31, 2022 | 198.00 Mn |
| Dec 31, 2021 | 192.00 Mn |
API Access
Boston Scientific Amortization - Intangibles 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=amortization-intangibles&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();