Thermo Fisher Scientific (TMO) Total Current Liabilities (2009 - 2026)
Thermo Fisher Scientific's Total Current Liabilities was $14.17 billion in Q3 2026, down 4.8% from $14.89 billion a year earlier and down 6.0% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Thermo Fisher Scientific came in at $15.19 billion, up 13.9% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $13.33 billion in FY2024 (-4.9%), $14.01 billion in FY2023 (-17.6%), $17.01 billion in FY2022 (+26.6%) and $13.44 billion in FY2021 (+30.4%).
- The Q3 2026 figure marks the lowest quarterly Total Current Liabilities since Q2 2025.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 2.0%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2022 (growth of 72.6%); the worst was Q4 2023 (a decline of 17.6%).
- Per Business Quant data, TMO's Total Current Liabilities in the three quarters before Q3 2026 was $15.07 billion (Q2 2026), $14.62 billion (Q1 2026) and $15.19 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | 14.17 Bn |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | 6.50 Bn |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | - |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn | 2.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 14.17 Bn |
| Jun 27, 2026 | 15.07 Bn |
| Mar 28, 2026 | 14.62 Bn |
| Dec 31, 2025 | 15.19 Bn |
| Sep 27, 2025 | 14.89 Bn |
| Jun 28, 2025 | 12.72 Bn |
| Mar 29, 2025 | 13.17 Bn |
| Dec 31, 2024 | 13.33 Bn |
| Sep 28, 2024 | 14.60 Bn |
| Jun 29, 2024 | 14.77 Bn |
| Mar 30, 2024 | 13.94 Bn |
| Dec 31, 2023 | 14.01 Bn |
| Sep 30, 2023 | 14.16 Bn |
| Jul 1, 2023 | 14.11 Bn |
| Apr 1, 2023 | 15.88 Bn |
| Dec 31, 2022 | 17.01 Bn |
| Oct 1, 2022 | 11.12 Bn |
| Jul 2, 2022 | 11.00 Bn |
| Apr 2, 2022 | 12.07 Bn |
| Dec 31, 2021 | 13.44 Bn |
API Access
Thermo Fisher Scientific Total 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-current-liabilities&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();