Stryker (SYK) Amortizatization of Intangibles (2009 - 2026)
Stryker (SYK) recorded Amortizatization of Intangibles of $175 million in Q2 2026, down 6.4% from $187 million a year earlier and down 2.8% from the prior quarter.
Stryker (SYK) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Stryker's Amortizatization of Intangibles came in at $733 million as of Jun 30, 2026, up 9.6% year-over-year; for FY2025, it was $732 million, up 17.5% from FY2024.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $623 million in FY2024 (-1.9%), $635 million in FY2023 (+1.3%), $627 million in FY2022 (+1.3%) and $619 million in FY2021 (+31.1%).
- The Q2 2026 figure is the lowest quarterly Amortizatization of Intangibles since Q1 2025.
- On a year-over-year basis, Amortizatization of Intangibles rose in six of the last eight quarters, with growth averaging 9.1%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 26.3% in Q3 2021, against a decline of 17.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $180 million (Q1 2026), $189 million (Q4 2025) and $189 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.00 Mn |
| Mar 31, 2026 | 180.00 Mn |
| Dec 31, 2025 | 189.00 Mn |
| Sep 30, 2025 | 189.00 Mn |
| Jun 30, 2025 | 187.00 Mn |
| Mar 31, 2025 | 167.00 Mn |
| Dec 31, 2024 | 156.00 Mn |
| Sep 30, 2024 | 159.00 Mn |
| Jun 30, 2024 | 155.00 Mn |
| Mar 31, 2024 | 153.00 Mn |
| Dec 31, 2023 | 149.00 Mn |
| Sep 30, 2023 | 164.00 Mn |
| Jun 30, 2023 | 161.00 Mn |
| Mar 31, 2023 | 161.00 Mn |
| Dec 31, 2022 | 158.00 Mn |
| Sep 30, 2022 | 159.00 Mn |
| Jun 30, 2022 | 160.00 Mn |
| Mar 31, 2022 | 150.00 Mn |
| Dec 31, 2021 | 145.00 Mn |
| Sep 30, 2021 | 144.00 Mn |
Stryker Amortizatization of 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=amortizatization-of-intangibles&ticker=SYK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "SYK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();