Globus Medical (GMED) Amortization - Intangibles (2015 - 2026)
Globus Medical (GMED) posted Amortization - Intangibles of $29.56 million for Q2 2026, down 2.1% from $30.19 million a year earlier but up 0.1% from the prior quarter.
Globus Medical (GMED) Amortization - Intangibles (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Globus Medical was $118.29 million, down 0.6% year-over-year; for FY2025, it came in at $118.19 million, down 1.0% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 47.7% (FY2020 to FY2025).
- In prior years, Globus Medical's Amortization - Intangibles was $119.37 million in FY2024 (+133.9%), $51.03 million in FY2023 (+187.7%), $17.74 million in FY2022 (-4.3%) and $18.53 million in FY2021 (+10.1%).
- Quarterly Amortization - Intangibles has run from a low of $4.32 million in Q3 2022 to a high of $30.19 million in Q2 2025 over five years.
- On a year-over-year basis, Amortization - Intangibles increased in four of the last eight quarters, with growth averaging 15.2%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q2 2024, with growth of 553.4%; the weakest was Q1 2022, with a decline of 5.5%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $29.53 million (Q1 2026), $29.36 million (Q4 2025) and $29.84 million (Q3 2025).
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 | Globus Medical | 10.06 Bn | 7.88 Bn | 548.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.56 Mn |
| Mar 31, 2026 | 29.53 Mn |
| Dec 31, 2025 | 29.36 Mn |
| Sep 30, 2025 | 29.84 Mn |
| Jun 30, 2025 | 30.19 Mn |
| Mar 31, 2025 | 28.80 Mn |
| Dec 31, 2024 | 29.91 Mn |
| Sep 30, 2024 | 30.08 Mn |
| Jun 30, 2024 | 29.71 Mn |
| Mar 31, 2024 | 29.68 Mn |
| Dec 31, 2023 | 28.12 Mn |
| Sep 30, 2023 | 13.76 Mn |
| Jun 30, 2023 | 4.55 Mn |
| Mar 31, 2023 | 4.60 Mn |
| Dec 31, 2022 | 4.51 Mn |
| Sep 30, 2022 | 4.32 Mn |
| Jun 30, 2022 | 4.39 Mn |
| Mar 31, 2022 | 4.51 Mn |
| Dec 31, 2021 | 4.56 Mn |
| Sep 30, 2021 | 4.57 Mn |
Globus Medical 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=GMED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "GMED", "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=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();