Thermo Fisher Scientific (TMO) EBIT (2009 - 2026)
Thermo Fisher Scientific's EBIT was $2.09 billion in Q2 2026, up 13.8% from $1.83 billion a year earlier and up 12.0% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Thermo Fisher Scientific's EBIT was $8.15 billion through Jun 27, 2026, up 10.0% year-over-year; for FY2025, it came in at $7.75 billion, up 5.6% from FY2024.
- EBIT shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, EBIT was $7.34 billion in FY2024 (+7.0%), $6.86 billion in FY2023 (-18.3%), $8.39 billion in FY2022 (-16.3%) and $10.03 billion in FY2021 (+28.7%).
- Quarterly EBIT has moved between $1.56 billion (Q1 2023) and $2.82 billion (Q1 2022) over five years.
- Compared with a year earlier, EBIT has increased for seven straight quarters, with growth averaging 6.4% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q2 2024 (growth of 15.3%); the worst was Q1 2023 (a decline of 44.6%).
- Per Business Quant data, TMO's EBIT in the three quarters before Q2 2026 was $1.86 billion (Q1 2026), $2.26 billion (Q4 2025) and $1.94 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 444.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.09 Bn |
| Mar 28, 2026 | 1.86 Bn |
| Dec 31, 2025 | 2.26 Bn |
| Sep 27, 2025 | 1.94 Bn |
| Jun 28, 2025 | 1.83 Bn |
| Mar 29, 2025 | 1.72 Bn |
| Dec 31, 2024 | 2.02 Bn |
| Sep 28, 2024 | 1.84 Bn |
| Jun 29, 2024 | 1.82 Bn |
| Mar 30, 2024 | 1.66 Bn |
| Dec 31, 2023 | 1.85 Bn |
| Sep 30, 2023 | 1.86 Bn |
| Jul 1, 2023 | 1.58 Bn |
| Apr 1, 2023 | 1.56 Bn |
| Dec 31, 2022 | 1.86 Bn |
| Oct 1, 2022 | 1.71 Bn |
| Jul 2, 2022 | 2.00 Bn |
| Apr 2, 2022 | 2.82 Bn |
| Dec 31, 2021 | 2.54 Bn |
| Oct 2, 2021 | 2.28 Bn |
API Access
Thermo Fisher Scientific EBIT 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=ebit&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();