Alphatec Holdings (ATEC) Amortization - Intangibles (2010 - 2026)
Alphatec Holdings (ATEC) posted Amortization - Intangibles of $3.92 million for Q2 2026, up 3.0% from $3.8 million a year earlier and up 0.1% from the prior quarter.
Alphatec Holdings (ATEC) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Alphatec Holdings was $15.44 million, down 6.3% year-over-year; for FY2025, it came in at $15.06 million, down 7.4% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 85.4% (FY2020 to FY2025).
- In prior years, Alphatec Holdings' Amortization - Intangibles was $16.26 million in FY2024 (+13.8%), $14.28 million in FY2023 (+41.2%), $10.12 million in FY2022 (+89.1%) and $5.35 million in FY2021 (+677.3%).
- The Q2 2026 figure stands as the highest quarterly Amortization - Intangibles since Q1 2025.
- On a year-over-year basis, Amortization - Intangibles increased in three of the last eight quarters, with growth averaging 0.7%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q2 2022, with growth of 80.2%; the weakest was Q4 2025, with a decline of 17.9%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $3.92 million (Q1 2026), $3.87 million (Q4 2025) and $3.73 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 | Alphatec Holdings | 1.59 Bn | 1.02 Bn | 154.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.92 Mn |
| Mar 31, 2026 | 3.92 Mn |
| Dec 31, 2025 | 3.87 Mn |
| Sep 30, 2025 | 3.73 Mn |
| Jun 30, 2025 | 3.80 Mn |
| Mar 31, 2025 | 4.10 Mn |
| Dec 31, 2024 | 4.72 Mn |
| Sep 30, 2024 | 3.85 Mn |
| Jun 30, 2024 | 3.84 Mn |
| Mar 31, 2024 | 3.85 Mn |
| Dec 31, 2023 | 3.82 Mn |
| Sep 30, 2023 | 3.87 Mn |
| Jun 30, 2023 | 3.71 Mn |
| Mar 31, 2023 | 2.88 Mn |
| Dec 31, 2022 | 2.93 Mn |
| Sep 30, 2022 | 2.77 Mn |
| Jun 30, 2022 | 2.18 Mn |
| Mar 31, 2022 | 2.23 Mn |
| Dec 31, 2021 | 1.96 Mn |
| Sep 30, 2021 | 2.01 Mn |
Alphatec Holdings 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=ATEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "ATEC", "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=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();