Dentsply Sirona (XRAY) Amortizatization of Intangibles (2009 - 2026)
Dentsply Sirona (XRAY) recorded Amortizatization of Intangibles of $49 million in Q2 2026, down 9.3% from $54 million a year earlier but up 19.5% from the prior quarter.
Dentsply Sirona (XRAY) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Dentsply Sirona's Amortizatization of Intangibles came in at $202 million as of Jun 30, 2026, down 2.4% year-over-year; for FY2025, it came in at $211 million, down 2.3% from FY2024.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $216 million in FY2024 (+2.4%), $211 million in FY2023 (+1.0%), $209 million in FY2022 (-5.9%) and $222 million in FY2021 (+15.6%).
- Quarterly Amortizatization of Intangibles has ranged from $41 million in Q1 2026 to $56 million in Q4 2025 over the past five years.
- On a year-over-year basis, Amortizatization of Intangibles rose in four of the last eight quarters, with an average decline of 2.7%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 12.2% in Q4 2021, against a decline of 16.7% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $41 million (Q1 2026), $56 million (Q4 2025) and $56 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 | Dentsply Sirona | 1.73 Bn | 609.06 Mn | 493.00 Mn | 49.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.00 Mn |
| Mar 31, 2026 | 41.00 Mn |
| Dec 31, 2025 | 56.00 Mn |
| Sep 30, 2025 | 56.00 Mn |
| Jun 30, 2025 | 54.00 Mn |
| Mar 31, 2025 | 45.00 Mn |
| Dec 31, 2024 | 54.00 Mn |
| Sep 30, 2024 | 54.00 Mn |
| Jun 30, 2024 | 54.00 Mn |
| Mar 31, 2024 | 54.00 Mn |
| Dec 31, 2023 | 52.00 Mn |
| Sep 30, 2023 | 53.00 Mn |
| Jun 30, 2023 | 53.00 Mn |
| Mar 31, 2023 | 53.00 Mn |
| Dec 31, 2022 | 50.00 Mn |
| Sep 30, 2022 | 51.00 Mn |
| Jun 30, 2022 | 53.00 Mn |
| Mar 31, 2022 | 55.00 Mn |
| Dec 31, 2021 | 55.00 Mn |
| Sep 30, 2021 | 55.00 Mn |
Dentsply Sirona 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=XRAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "XRAY", "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=XRAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();