Thermo Fisher Scientific (TMO) Intangibles (2009 - 2026)
Thermo Fisher Scientific (TMO) reported Intangibles of $18.61 billion for Q2 2026, up 22.8% from $15.15 billion a year earlier but down 2.8% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific posted Intangibles of $15.84 billion, up 2.0% from FY2024.
- Intangibles has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- By year, Intangibles came in at $15.53 billion in FY2024 (-6.8%), $16.67 billion in FY2023 (-4.4%), $17.44 billion in FY2022 (-13.3%) and $20.11 billion in FY2021 (+58.6%).
- Five-year quarterly Intangibles spans a low of $11.93 billion in Q3 2021 and a high of $20.11 billion in Q4 2021.
- Year over year, Intangibles has now increased in each of the last three quarters, with growth averaging 3.9% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q4 2021 (growth of 58.6%); the low point was Q4 2022 (a decline of 13.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.15 billion (Q1 2026), $15.84 billion (Q4 2025) and $16.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.37 Bn | 222.40 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 175.44 Bn | 145.87 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 155.01 Bn | 138.82 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 150.71 Bn | 130.13 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 116.97 Bn | 82.22 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 106.98 Bn | 93.09 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.39 Bn | 58.16 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 51.10 Bn | 48.25 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 49.08 Bn | 33.09 Bn | 1.35 Bn | 1.38 Bn |
| 10 | Agilent Technologies | 48.37 Bn | 41.25 Bn | 1.04 Bn | 906.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 18.61 Bn |
| Mar 28, 2026 | 19.15 Bn |
| Dec 31, 2025 | 15.84 Bn |
| Sep 27, 2025 | 16.24 Bn |
| Jun 28, 2025 | 15.15 Bn |
| Mar 29, 2025 | 15.32 Bn |
| Dec 31, 2024 | 15.53 Bn |
| Sep 28, 2024 | 16.26 Bn |
| Jun 29, 2024 | 15.52 Bn |
| Mar 30, 2024 | 16.05 Bn |
| Dec 31, 2023 | 16.67 Bn |
| Sep 30, 2023 | 17.09 Bn |
| Jul 1, 2023 | 17.44 Bn |
| Apr 1, 2023 | 17.97 Bn |
| Dec 31, 2022 | 17.44 Bn |
| Oct 1, 2022 | 17.81 Bn |
| Jul 2, 2022 | 18.58 Bn |
| Apr 2, 2022 | 19.38 Bn |
| Dec 31, 2021 | 20.11 Bn |
| Oct 2, 2021 | 11.93 Bn |
API Access
Thermo Fisher Scientific 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=intangibles&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();