Thermo Fisher Scientific (TMO) Interest Expenses (2009 - 2026)
Thermo Fisher Scientific (TMO) posted Interest Expenses of $401 million for Q2 2026, down 0.7% from $404 million a year earlier but up 13.3% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Interest Expenses at Thermo Fisher Scientific was $1.47 billion, up 6.3% year-over-year; for FY2025, it was $1.42 billion, up 2.1% from FY2024.
- Annual Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- In prior years, Thermo Fisher Scientific's Interest Expenses was $1.39 billion in FY2024 (+1.1%), $1.38 billion in FY2023 (+89.4%), $726 million in FY2022 (+35.4%) and $536 million in FY2021 (-3.1%).
- Quarterly Interest Expenses has run from a low of $128 million in Q3 2021 to a high of $404 million in Q2 2025 over five years.
- On a year-over-year basis, Interest Expenses increased in three of the last eight quarters, with growth averaging 0.8%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q1 2023, with growth of 120.6%; the weakest was Q4 2024, with a decline of 18.7%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $354 million (Q1 2026), $365 million (Q4 2025) and $347 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 29.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 401.00 Mn |
| Mar 28, 2026 | 354.00 Mn |
| Dec 31, 2025 | 365.00 Mn |
| Sep 27, 2025 | 347.00 Mn |
| Jun 28, 2025 | 404.00 Mn |
| Mar 29, 2025 | 303.00 Mn |
| Dec 31, 2024 | 317.00 Mn |
| Sep 28, 2024 | 356.00 Mn |
| Jun 29, 2024 | 354.00 Mn |
| Mar 30, 2024 | 363.00 Mn |
| Dec 31, 2023 | 390.00 Mn |
| Sep 30, 2023 | 359.00 Mn |
| Jul 1, 2023 | 326.00 Mn |
| Apr 1, 2023 | 300.00 Mn |
| Dec 31, 2022 | 269.00 Mn |
| Oct 1, 2022 | 173.00 Mn |
| Jul 2, 2022 | 148.00 Mn |
| Apr 2, 2022 | 136.00 Mn |
| Dec 31, 2021 | 161.00 Mn |
| Oct 2, 2021 | 128.00 Mn |
API Access
Thermo Fisher Scientific Interest Expenses 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=interest-expenses&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();