Thermo Fisher Scientific (TMO) Other Non-Current Assets (2009 - 2026)
Thermo Fisher Scientific (TMO) reported Other Non-Current Assets of $5.62 billion for Q2 2026, up 21.7% from $4.62 billion a year earlier but down 6.0% from the prior quarter.
Thermo Fisher Scientific (TMO) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific posted Other Non-Current Assets of $5.87 billion, up 30.7% from FY2024.
- Other Non-Current Assets has a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- By year, Other Non-Current Assets came in at $4.49 billion in FY2024 (+12.3%), $4 billion in FY2023 (-0.2%), $4.01 billion in FY2022 (-13.6%) and $4.64 billion in FY2021 (+88.8%).
- Five-year quarterly Other Non-Current Assets spans a low of $2.99 billion in Q3 2021 and a high of $5.97 billion in Q1 2026.
- Year over year, Other Non-Current Assets has now increased in each of the last ten quarters, with growth averaging 16.3% over the last eight quarters.
- The high point for year-over-year Other Non-Current Assets in five years was Q4 2021 (growth of 88.8%); the low point was Q4 2022 (a decline of 13.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.97 billion (Q1 2026), $5.87 billion (Q4 2025) and $5.02 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | - |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 2.55 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 616.40 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.62 Bn |
| Mar 28, 2026 | 5.97 Bn |
| Dec 31, 2025 | 5.87 Bn |
| Sep 27, 2025 | 5.02 Bn |
| Jun 28, 2025 | 4.62 Bn |
| Mar 29, 2025 | 4.52 Bn |
| Dec 31, 2024 | 4.49 Bn |
| Sep 28, 2024 | 4.18 Bn |
| Jun 29, 2024 | 4.38 Bn |
| Mar 30, 2024 | 4.24 Bn |
| Dec 31, 2023 | 4.00 Bn |
| Sep 30, 2023 | 4.12 Bn |
| Jul 1, 2023 | 4.11 Bn |
| Apr 1, 2023 | 3.98 Bn |
| Dec 31, 2022 | 4.01 Bn |
| Oct 1, 2022 | 4.31 Bn |
| Jul 2, 2022 | 4.31 Bn |
| Apr 2, 2022 | 4.42 Bn |
| Dec 31, 2021 | 4.64 Bn |
| Oct 2, 2021 | 2.99 Bn |
Thermo Fisher Scientific Other Non-Current Assets 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=other-non-current-assets&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();