Axogen (AXGN) Amortizatization of Intangibles (2010 - 2026)
Axogen (AXGN) posted Amortizatization of Intangibles of $111,000 for Q2 2026, up 68.2% from $66,000 a year earlier and up 9.9% from the prior quarter.
Axogen (AXGN) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Axogen was $394,000, up 49.8% year-over-year; for FY2025, it was $315,000, up 18.0% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- In prior years, Axogen's Amortizatization of Intangibles was $267,000 in FY2024 (-2.2%), $273,000 in FY2023 (+3.0%), $265,000 in FY2022 (+31.2%) and $202,000 in FY2021 (+32.0%).
- The Q2 2026 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to Q3 2010.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last four quarters, with growth averaging 24.6% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q2 2026, with growth of 68.2%; the weakest was Q2 2025, with a decline of 13.2%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $101,000 (Q1 2026), $94,000 (Q4 2025) and $88,000 (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 | Axogen | 2.01 Bn | 1.72 Bn | 50.67 Mn | 111,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111,000.00 |
| Mar 31, 2026 | 101,000.00 |
| Dec 31, 2025 | 94,000.00 |
| Sep 30, 2025 | 88,000.00 |
| Jun 30, 2025 | 66,000.00 |
| Mar 31, 2025 | 67,000.00 |
| Dec 31, 2024 | 65,000.00 |
| Sep 30, 2024 | 65,000.00 |
| Jun 30, 2024 | 76,000.00 |
| Mar 31, 2024 | 62,000.00 |
| Dec 31, 2023 | 59,000.00 |
| Sep 30, 2023 | 70,000.00 |
| Jun 30, 2023 | 73,000.00 |
| Mar 31, 2023 | 71,000.00 |
| Dec 31, 2022 | 67,000.00 |
| Sep 30, 2022 | 66,000.00 |
| Jun 30, 2022 | 63,000.00 |
| Mar 31, 2022 | 69,000.00 |
| Dec 31, 2021 | 54,000.00 |
| Sep 30, 2021 | 52,000.00 |
Axogen 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=AXGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "AXGN", "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=AXGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();