Thermo Fisher Scientific (TMO) EBITDA Margin (2009 - 2026)
Thermo Fisher Scientific (TMO) posted EBITDA Margin of 24.20% for Q2 2026, up 0.99 percentage points from 23.22% a year earlier and up 0.59 percentage points from the prior quarter.
Thermo Fisher Scientific (TMO) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBITDA Margin at Thermo Fisher Scientific was 23.93%, up 0.15 percentage points year-over-year; for FY2025, it came in at 23.62%, down 0.74 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -7.78 percentage points (FY2020 to FY2025).
- In prior years, Thermo Fisher Scientific's EBITDA Margin was 24.36% in FY2024 (+0.41 pp), 23.95% in FY2023 (-2.26 pp), 26.21% in FY2022 (-5.97 pp) and 32.18% in FY2021 (+0.78 pp).
- Quarterly EBITDA Margin has run from a low of 22.61% in Q1 2023 to a high of 31.15% in Q3 2021 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last three quarters, with an average year-over-year change of -0.46 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q2 2024, with a gain of 1.99 percentage points; the weakest was Q1 2023, with a drop of 8.52 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 23.62% (Q1 2026), 24.42% (Q4 2025) and 23.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 31.93% |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 27.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 24.20% |
| Mar 28, 2026 | 23.62% |
| Dec 31, 2025 | 24.42% |
| Sep 27, 2025 | 23.40% |
| Jun 28, 2025 | 23.22% |
| Mar 29, 2025 | 23.36% |
| Dec 31, 2024 | 24.20% |
| Sep 28, 2024 | 24.33% |
| Jun 29, 2024 | 24.76% |
| Mar 30, 2024 | 24.16% |
| Dec 31, 2023 | 24.74% |
| Sep 30, 2023 | 25.70% |
| Jul 1, 2023 | 22.77% |
| Apr 1, 2023 | 22.61% |
| Dec 31, 2022 | 23.66% |
| Oct 1, 2022 | 23.86% |
| Jul 2, 2022 | 25.86% |
| Apr 2, 2022 | 31.14% |
| Dec 31, 2021 | 30.10% |
| Oct 2, 2021 | 31.15% |
Thermo Fisher Scientific EBITDA Margin 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=ebitda-margin&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();