Thermo Fisher Scientific (TMO) Restructuring Costs (2009 - 2026)
Thermo Fisher Scientific (TMO) reported Restructuring Costs of $199 million for Q3 2026, up 47.4% from $135 million a year earlier and up 103.1% from the prior quarter.
Thermo Fisher Scientific (TMO) Restructuring Costs (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Thermo Fisher Scientific's Restructuring Costs came in at $392 million, down 27.8% year-over-year; for FY2025, it came in at $362 million, down 4.5% from FY2024.
- Restructuring Costs has a five-year compound annual growth rate of 29.6% (FY2020 to FY2025).
- By year, Restructuring Costs came in at $379 million in FY2024 (-17.4%), $459 million in FY2023 (+302.6%), $114 million in FY2022 (-42.1%) and $197 million in FY2021 (+99.0%).
- The Q3 2026 figure ranks as the highest quarterly Restructuring Costs since Q4 2024.
- Year over year, Restructuring Costs gained in six of the last eight quarters, with growth averaging 70.8%.
- The high point for year-over-year Restructuring Costs in five years was Q2 2023 (growth of 662.5%); the low point was Q1 2022 (a decline of 85.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $98 million (Q2 2026), $49 million (Q1 2026) and $46 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 26, 2026 | 199.00 Mn |
| Jun 27, 2026 | 98.00 Mn |
| Mar 28, 2026 | 49.00 Mn |
| Dec 31, 2025 | 46.00 Mn |
| Sep 27, 2025 | 135.00 Mn |
| Jun 28, 2025 | 82.00 Mn |
| Mar 29, 2025 | 98.00 Mn |
| Dec 31, 2024 | 228.00 Mn |
| Sep 28, 2024 | 45.00 Mn |
| Jun 29, 2024 | 77.00 Mn |
| Mar 30, 2024 | 29.00 Mn |
| Dec 31, 2023 | 80.00 Mn |
| Sep 30, 2023 | 84.00 Mn |
| Jul 1, 2023 | 183.00 Mn |
| Apr 1, 2023 | 112.00 Mn |
| Dec 31, 2022 | 55.00 Mn |
| Oct 1, 2022 | 33.00 Mn |
| Jul 2, 2022 | 24.00 Mn |
| Apr 2, 2022 | 2.00 Mn |
| Dec 31, 2021 | 46.00 Mn |
Thermo Fisher Scientific Restructuring Costs 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=restructuring-costs&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();