Thermo Fisher Scientific (TMO) Total Non-Current Liabilities (2009 - 2026)
Thermo Fisher Scientific (TMO) reported Total Non-Current Liabilities of $55.95 billion for Q2 2026, up 20.4% from $46.48 billion a year earlier but down 1.7% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific posted Total Non-Current Liabilities of $52.66 billion, up 20.3% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $43.78 billion in FY2024 (-7.6%), $47.36 billion in FY2023 (-3.1%), $48.88 billion in FY2022 (-1.7%) and $49.73 billion in FY2021 (+59.4%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $30.86 billion in Q3 2021 and a high of $56.92 billion in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 6.9% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 71.1%); the low point was Q4 2024 (a decline of 7.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $56.92 billion (Q1 2026), $52.66 billion (Q4 2025) and $47.72 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | - |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 6.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 55.95 Bn |
| Mar 28, 2026 | 56.92 Bn |
| Dec 31, 2025 | 52.66 Bn |
| Sep 27, 2025 | 47.72 Bn |
| Jun 28, 2025 | 46.48 Bn |
| Mar 29, 2025 | 45.71 Bn |
| Dec 31, 2024 | 43.78 Bn |
| Sep 28, 2024 | 47.05 Bn |
| Jun 29, 2024 | 46.69 Bn |
| Mar 30, 2024 | 47.02 Bn |
| Dec 31, 2023 | 47.36 Bn |
| Sep 30, 2023 | 47.39 Bn |
| Jul 1, 2023 | 46.26 Bn |
| Apr 1, 2023 | 48.12 Bn |
| Dec 31, 2022 | 48.88 Bn |
| Oct 1, 2022 | 42.53 Bn |
| Jul 2, 2022 | 43.69 Bn |
| Apr 2, 2022 | 47.07 Bn |
| Dec 31, 2021 | 49.73 Bn |
| Oct 2, 2021 | 30.86 Bn |
API Access
Thermo Fisher Scientific Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();