Thermo Fisher Scientific (TMO) Non-Current Assets (2009 - 2026)
Thermo Fisher Scientific (TMO) reported Non-Current Assets of $89.81 billion for Q2 2026, up 17.2% from $76.65 billion a year earlier but down 1.3% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific posted Non-Current Assets of $81.64 billion, up 8.6% from FY2024.
- Non-Current Assets has increased for three consecutive years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $75.18 billion in FY2024 (+1.4%), $74.14 billion in FY2023 (+3.1%), $71.93 billion in FY2022 (-4.1%) and $75.01 billion in FY2021 (+59.3%).
- Five-year quarterly Non-Current Assets spans a low of $48.88 billion in Q3 2021 and a high of $90.97 billion in Q1 2026.
- Year over year, Non-Current Assets has now increased in each of the last eight quarters, with growth averaging 8.0% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2021 (growth of 59.3%); the low point was Q4 2022 (a decline of 4.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $90.97 billion (Q1 2026), $81.64 billion (Q4 2025) and $80.73 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 9.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 89.81 Bn |
| Mar 28, 2026 | 90.97 Bn |
| Dec 31, 2025 | 81.64 Bn |
| Sep 27, 2025 | 80.73 Bn |
| Jun 28, 2025 | 76.65 Bn |
| Mar 29, 2025 | 75.66 Bn |
| Dec 31, 2024 | 75.18 Bn |
| Sep 28, 2024 | 76.58 Bn |
| Jun 29, 2024 | 73.02 Bn |
| Mar 30, 2024 | 73.46 Bn |
| Dec 31, 2023 | 74.14 Bn |
| Sep 30, 2023 | 73.97 Bn |
| Jul 1, 2023 | 74.11 Bn |
| Apr 1, 2023 | 74.45 Bn |
| Dec 31, 2022 | 71.93 Bn |
| Oct 1, 2022 | 71.24 Bn |
| Jul 2, 2022 | 72.48 Bn |
| Apr 2, 2022 | 73.97 Bn |
| Dec 31, 2021 | 75.01 Bn |
| Oct 2, 2021 | 48.88 Bn |
API Access
Thermo Fisher Scientific 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=non-current-assets&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();