GE HealthCare Technologies (GEHC) Amortizatization of Intangibles (2022 - 2026)
GE HealthCare Technologies (GEHC) reported Amortizatization of Intangibles of $84 million for Q2 2026, up 12.0% from $75 million a year earlier and up 12.0% from the prior quarter.
GE HealthCare Technologies (GEHC) Amortizatization of Intangibles (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GE HealthCare Technologies' Amortizatization of Intangibles came in at $305 million, up 2.7% year-over-year; for FY2025, it came in at $291 million, down 6.7% from FY2024.
- Amortizatization of Intangibles has declined for three consecutive years, with a four-year compound annual growth rate of -7.6% (FY2021 to FY2025).
- By year, Amortizatization of Intangibles came in at $312 million in FY2024 (-13.8%), $362 million in FY2023 (-10.6%), $405 million in FY2022 (+1.3%) and $400 million in FY2021.
- Five-year quarterly Amortizatization of Intangibles spans a low of $70 million in Q1 2025 and a high of $103 million in Q3 2022.
- Year over year, Amortizatization of Intangibles gained in two of the last eight quarters, with an average decline of 4.1%.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q2 2026 (growth of 12.0%); the low point was Q1 2024 (a decline of 16.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $75 million (Q1 2026), $72 million (Q4 2025) and $74 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 | GE HealthCare Technologies | 29.04 Bn | 16.33 Bn | 2.18 Bn | 84.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.00 Mn |
| Mar 31, 2026 | 75.00 Mn |
| Dec 31, 2025 | 72.00 Mn |
| Sep 30, 2025 | 74.00 Mn |
| Jun 30, 2025 | 75.00 Mn |
| Mar 31, 2025 | 70.00 Mn |
| Dec 31, 2024 | 75.00 Mn |
| Sep 30, 2024 | 77.00 Mn |
| Jun 30, 2024 | 81.00 Mn |
| Mar 31, 2024 | 80.00 Mn |
| Dec 31, 2023 | 84.00 Mn |
| Sep 30, 2023 | 89.00 Mn |
| Jun 30, 2023 | 93.00 Mn |
| Mar 31, 2023 | 96.00 Mn |
| Dec 31, 2022 | 98.00 Mn |
| Sep 30, 2022 | 103.00 Mn |
| Jun 30, 2022 | 101.00 Mn |
| Mar 31, 2022 | 103.00 Mn |
GE HealthCare Technologies 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=GEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "GEHC", "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=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();