Thermo Fisher Scientific (TMO) Gross Margin (2009 - 2026)
Thermo Fisher Scientific (TMO) recorded Gross Margin of 40.70% in Q2 2026, up 0.09 percentage points from 40.62% a year earlier and up 0.45 percentage points from the prior quarter.
Thermo Fisher Scientific (TMO) Gross Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Thermo Fisher Scientific's Gross Margin came in at 40.80% as of Jun 27, 2026, down 0.38 percentage points year-over-year; for FY2025, it came in at 40.93%, down 0.35 percentage points from FY2024.
- Annual Gross Margin has a five-year change of -8.74 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 41.28% in FY2024 (+1.38 pp), 39.90% in FY2023 (-2.34 pp), 42.24% in FY2022 (-7.85 pp) and 50.08% in FY2021 (+0.41 pp).
- Quarterly Gross Margin has ranged from 38.66% in Q1 2023 to 99.65% in Q3 2021 over the past five years.
- On a year-over-year basis, Gross Margin rose in five of the last eight quarters, with an average year-over-year change of +0.02 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 48.82 percentage points in Q3 2021, against a drop of 59.35 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 40.25% (Q1 2026), 41.02% (Q4 2025) and 41.21% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 40.70% |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 57.71% |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 57.64% |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 67.78% |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 64.99% |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 68.27% |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 70.71% |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 46.46% |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 77.46% |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 55.48% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 40.70% |
| Mar 28, 2026 | 40.25% |
| Dec 31, 2025 | 41.02% |
| Sep 27, 2025 | 41.21% |
| Jun 28, 2025 | 40.62% |
| Mar 29, 2025 | 40.86% |
| Dec 31, 2024 | 42.32% |
| Sep 28, 2024 | 40.84% |
| Jun 29, 2024 | 41.24% |
| Mar 30, 2024 | 40.65% |
| Dec 31, 2023 | 40.35% |
| Sep 30, 2023 | 40.82% |
| Jul 1, 2023 | 39.78% |
| Apr 1, 2023 | 38.66% |
| Dec 31, 2022 | 40.23% |
| Oct 1, 2022 | 40.29% |
| Jul 2, 2022 | 41.92% |
| Apr 2, 2022 | 46.23% |
| Dec 31, 2021 | 49.09% |
| Oct 2, 2021 | 99.65% |
Thermo Fisher Scientific Gross 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=gross-margin&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();