Thermo Fisher Scientific (TMO) Non Operating Interest Expenses (2009 - 2026)
Thermo Fisher Scientific's Non Operating Interest Expenses came in at $417 million for Q3 2026, up 20.2% from $347 million a year earlier and up 4.0% from the prior quarter.
Thermo Fisher Scientific (TMO) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, Thermo Fisher Scientific reported Non Operating Interest Expenses of $1.54 billion, up 12.1% year-over-year; for FY2025, it was $1.42 billion, up 2.1% from FY2024.
- Non Operating Interest Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- Going back by year, Non Operating 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%).
- The Q3 2026 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q3 2009.
- Year-over-year, Non Operating Interest Expenses increased in four of the last eight quarters, with growth averaging 3.5%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2023 (growth of 120.6%), and the weakest in Q4 2024 (a decline of 18.7%).
- Business Quant data shows TMO's Non Operating Interest Expenses at $401 million (Q2 2026), $354 million (Q1 2026) and $365 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | 417.00 Mn |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | - |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn | 29.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 417.00 Mn |
| 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 |
Thermo Fisher Scientific Non Operating 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=non-operating-interest-expenses&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();