Thermo Fisher Scientific (TMO) Total Debt (2009 - 2026)
Thermo Fisher Scientific (TMO) recorded Total Debt of $42.55 billion in Q2 2026, up 20.8% from $35.23 billion a year earlier but down 1.4% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific reported Total Debt of $39.39 billion, up 25.9% from FY2024.
- Annual Total Debt has a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Across earlier years, Total Debt came in at $31.28 billion in FY2024 (-10.4%), $34.92 billion in FY2023 (+1.2%), $34.49 billion in FY2022 (-1.1%) and $34.87 billion in FY2021 (+60.4%).
- Quarterly Total Debt has ranged from $21.71 billion in Q3 2021 to $43.16 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Total Debt has increased for four consecutive quarters, with growth averaging 7.4% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 78.4% in Q1 2022, against a decline of 10.4% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.16 billion (Q1 2026), $39.39 billion (Q4 2025) and $35.68 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 16.81 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 304.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 42.55 Bn |
| Mar 28, 2026 | 43.16 Bn |
| Dec 31, 2025 | 39.39 Bn |
| Sep 27, 2025 | 35.68 Bn |
| Jun 28, 2025 | 35.23 Bn |
| Mar 29, 2025 | 34.19 Bn |
| Dec 31, 2024 | 31.28 Bn |
| Sep 28, 2024 | 35.31 Bn |
| Jun 29, 2024 | 35.41 Bn |
| Mar 30, 2024 | 35.61 Bn |
| Dec 31, 2023 | 34.92 Bn |
| Sep 30, 2023 | 35.28 Bn |
| Jul 1, 2023 | 34.01 Bn |
| Apr 1, 2023 | 35.26 Bn |
| Dec 31, 2022 | 34.49 Bn |
| Oct 1, 2022 | 29.16 Bn |
| Jul 2, 2022 | 30.26 Bn |
| Apr 2, 2022 | 33.26 Bn |
| Dec 31, 2021 | 34.87 Bn |
| Oct 2, 2021 | 21.71 Bn |
API Access
Thermo Fisher Scientific Total Debt 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-debt&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();