Thermo Fisher Scientific (TMO) Other Operating Expenses (2009 - 2026)
Thermo Fisher Scientific (TMO) reported Other Operating Expenses of $7.08 billion for Q2 2026, up 10.6% from $6.4 billion a year earlier and up 7.9% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Thermo Fisher Scientific's Other Operating Expenses came in at $27.37 billion, up 7.5% year-over-year; for FY2025, it was $26.3 billion, up 4.4% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $25.18 billion in FY2024 (-2.1%), $25.72 billion in FY2023 (-3.6%), $26.69 billion in FY2022 (+27.2%) and $20.98 billion in FY2021 (+20.6%).
- Five-year quarterly Other Operating Expenses spans a low of $5.03 billion in Q3 2021 and a high of $7.2 billion in Q4 2025.
- Year over year, Other Operating Expenses has now increased in each of the last eight quarters, with growth averaging 4.8% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q1 2022 (growth of 33.9%); the low point was Q4 2023 (a decline of 7.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.56 billion (Q1 2026), $7.2 billion (Q4 2025) and $6.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn |
| 6 | Stryker | 111.91 Bn | 111.91 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 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.11 Bn |
| Mar 28, 2026 | 6.58 Bn |
| Dec 31, 2025 | 7.21 Bn |
| Sep 27, 2025 | 6.54 Bn |
| Jun 28, 2025 | 6.45 Bn |
| Mar 29, 2025 | 6.13 Bn |
| Dec 31, 2024 | 6.57 Bn |
| Sep 28, 2024 | 6.27 Bn |
| Jun 29, 2024 | 6.20 Bn |
| Mar 30, 2024 | 6.14 Bn |
| Dec 31, 2023 | 6.49 Bn |
| Sep 30, 2023 | 6.26 Bn |
| Jul 1, 2023 | 6.44 Bn |
| Apr 1, 2023 | 6.57 Bn |
| Dec 31, 2022 | 6.84 Bn |
| Oct 1, 2022 | 6.38 Bn |
| Jul 2, 2022 | 6.37 Bn |
| Apr 2, 2022 | 6.35 Bn |
| Dec 31, 2021 | 5.45 Bn |
| Oct 2, 2021 | 4.68 Bn |
API Access
Thermo Fisher Scientific Other Operating 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=other-operating-expenses&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();