Thermo Fisher Scientific (TMO) EBT Margin (2009 - 2026)
Thermo Fisher Scientific (TMO) recorded EBT Margin of 16.04% in Q2 2026, up 0.30 percentage points from 15.74% a year earlier and up 0.28 percentage points from the prior quarter.
Thermo Fisher Scientific (TMO) EBT Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Thermo Fisher Scientific's EBT Margin came in at 16.48% as of Jun 27, 2026, up 0.25 percentage points year-over-year; for FY2025, it came in at 16.40%, down 0.01 percentage points from FY2024.
- Annual EBT Margin has a five-year change of -6.04 percentage points (FY2020 to FY2025).
- Across earlier years, EBT Margin came in at 16.41% in FY2024 (+1.72 pp), 14.70% in FY2023 (-2.75 pp), 17.44% in FY2022 (-5.10 pp) and 22.55% in FY2021 (+0.11 pp).
- Quarterly EBT Margin has ranged from 12.73% in Q1 2023 to 23.33% in Q3 2021 over the past five years.
- On a year-over-year basis, EBT Margin has increased for three consecutive quarters, with an average year-over-year change of +0.13 percentage points over the last eight quarters.
- Peak year-over-year performance for EBT Margin in the last five years was a gain of 3.36 percentage points in Q2 2024, against a drop of 10.06 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 15.76% (Q1 2026), 17.63% (Q4 2025) and 16.42% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 16.04% |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 12.10% |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 17.21% |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 36.46% |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 18.13% |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 23.74% |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 19.48% |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 11.12% |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 29.86% |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 23.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 16.04% |
| Mar 28, 2026 | 15.76% |
| Dec 31, 2025 | 17.63% |
| Sep 27, 2025 | 16.42% |
| Jun 28, 2025 | 15.74% |
| Mar 29, 2025 | 15.63% |
| Dec 31, 2024 | 17.03% |
| Sep 28, 2024 | 16.44% |
| Jun 29, 2024 | 16.74% |
| Mar 30, 2024 | 15.36% |
| Dec 31, 2023 | 15.98% |
| Sep 30, 2023 | 16.69% |
| Jul 1, 2023 | 13.38% |
| Apr 1, 2023 | 12.73% |
| Dec 31, 2022 | 15.52% |
| Oct 1, 2022 | 14.99% |
| Jul 2, 2022 | 17.47% |
| Apr 2, 2022 | 21.49% |
| Dec 31, 2021 | 17.40% |
| Oct 2, 2021 | 23.33% |
Thermo Fisher Scientific EBT 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=ebt-margin&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-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=ebt-margin&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();