Thermo Fisher Scientific (TMO) Other Accumulated Expenses (2009 - 2026)
Thermo Fisher Scientific's Other Accumulated Expenses was $3.82 billion in Q2 2026, up 19.5% from $3.2 billion a year earlier and up 3.5% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Thermo Fisher Scientific came in at $3.33 billion, up 4.1% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $3.2 billion in FY2024 (-1.4%), $3.25 billion in FY2023 (-3.2%), $3.35 billion in FY2022 (+13.7%) and $2.95 billion in FY2021 (+27.5%).
- The Q2 2026 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q2 2009.
- Compared with a year earlier, Other Accumulated Expenses has increased for three straight quarters, with growth averaging 8.2% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q2 2022 (growth of 58.9%); the worst was Q3 2023 (a decline of 11.2%).
- Per Business Quant data, TMO's Other Accumulated Expenses in the three quarters before Q2 2026 was $3.69 billion (Q1 2026), $3.33 billion (Q4 2025) and $3.21 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 3.81 Bn |
| Jun 27, 2026 | 3.82 Bn |
| Mar 28, 2026 | 3.69 Bn |
| Dec 31, 2025 | 3.33 Bn |
| Sep 27, 2025 | 3.21 Bn |
| Jun 28, 2025 | 3.20 Bn |
| Mar 29, 2025 | 3.02 Bn |
| Dec 31, 2024 | 3.20 Bn |
| Sep 28, 2024 | 3.39 Bn |
| Jun 29, 2024 | 3.02 Bn |
| Mar 30, 2024 | 2.99 Bn |
| Dec 31, 2023 | 3.25 Bn |
| Sep 30, 2023 | 2.85 Bn |
| Jul 1, 2023 | 2.98 Bn |
| Apr 1, 2023 | 3.00 Bn |
| Dec 31, 2022 | 3.35 Bn |
| Oct 1, 2022 | 3.21 Bn |
| Jul 2, 2022 | 2.96 Bn |
| Apr 2, 2022 | 3.03 Bn |
| Dec 31, 2021 | 2.95 Bn |
API Access
Thermo Fisher Scientific Other Accumulated 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-accumulated-expenses&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();