Thermo Fisher Scientific (TMO) Amortizatization of Intangibles (2018 - 2026)
Thermo Fisher Scientific's Amortizatization of Intangibles was $485 million in Q2 2026, up 12.8% from $430 million a year earlier and up 12.8% from the prior quarter.
Thermo Fisher Scientific (TMO) Amortizatization of Intangibles (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Thermo Fisher Scientific's Amortizatization of Intangibles was $1.79 billion through Jun 27, 2026, up 2.3% year-over-year; for FY2025, it was $1.73 billion, down 11.4% from FY2024.
- Amortizatization of Intangibles has now declined for three consecutive years, though with a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $1.95 billion in FY2024 (-16.5%), $2.34 billion in FY2023 (-2.4%), $2.4 billion in FY2022 (+36.0%) and $1.76 billion in FY2021 (+5.6%).
- The Q2 2026 figure marks the highest quarterly Amortizatization of Intangibles since Q2 2024.
- Compared with a year earlier, Amortizatization of Intangibles was higher in two of the last eight quarters, with an average decline of 9.3%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q1 2022 (growth of 44.0%); the worst was Q3 2024 (a decline of 23.1%).
- Per Business Quant data, TMO's Amortizatization of Intangibles in the three quarters before Q2 2026 was $430 million (Q1 2026), $436 million (Q4 2025) and $435 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | - |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 175.00 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 485.00 Mn |
| Mar 28, 2026 | 430.00 Mn |
| Dec 31, 2025 | 436.00 Mn |
| Sep 27, 2025 | 435.00 Mn |
| Jun 28, 2025 | 430.00 Mn |
| Mar 29, 2025 | 429.00 Mn |
| Dec 31, 2024 | 438.00 Mn |
| Sep 28, 2024 | 449.00 Mn |
| Jun 29, 2024 | 514.00 Mn |
| Mar 30, 2024 | 551.00 Mn |
| Dec 31, 2023 | 563.00 Mn |
| Sep 30, 2023 | 584.00 Mn |
| Jul 1, 2023 | 585.00 Mn |
| Apr 1, 2023 | 606.00 Mn |
| Dec 31, 2022 | 592.00 Mn |
| Oct 1, 2022 | 594.00 Mn |
| Jul 2, 2022 | 600.00 Mn |
| Apr 2, 2022 | 609.00 Mn |
| Dec 31, 2021 | 466.00 Mn |
| Oct 2, 2021 | 423.00 Mn |
Thermo Fisher Scientific 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=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "TMO", "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=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();