Thermo Fisher Scientific (TMO) EPS (Diluted) (2009 - 2026)
Thermo Fisher Scientific (TMO) posted EPS (Diluted) of $4.68 for Q2 2026, up 9.4% from $4.28 a year earlier and up 5.7% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EPS (Diluted) at Thermo Fisher Scientific was $18.78, up 7.8% year-over-year; for FY2025, it came in at $17.74, up 7.2% from FY2024.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- In prior years, Thermo Fisher Scientific's EPS (Diluted) was $16.54 in FY2024 (+7.1%), $15.45 in FY2023 (-12.4%), $17.64 in FY2022 (-9.3%) and $19.46 in FY2021 (+21.8%).
- Quarterly EPS (Diluted) has run from a low of $3.32 in Q1 2023 to a high of $5.61 in Q1 2022 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last seven quarters, with growth averaging 7.6% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q3 2023, with growth of 16.8%; the weakest was Q1 2023, with a decline of 40.8%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $4.43 (Q1 2026), $5.20 (Q4 2025) and $4.28 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 0.61 |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 1.37 |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 0.42 |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.68 |
| Mar 28, 2026 | 4.43 |
| Dec 31, 2025 | 5.20 |
| Sep 27, 2025 | 4.28 |
| Jun 28, 2025 | 4.28 |
| Mar 29, 2025 | 3.98 |
| Dec 31, 2024 | 4.78 |
| Sep 28, 2024 | 4.24 |
| Jun 29, 2024 | 4.04 |
| Mar 30, 2024 | 3.46 |
| Dec 31, 2023 | 4.20 |
| Sep 30, 2023 | 4.42 |
| Jul 1, 2023 | 3.51 |
| Apr 1, 2023 | 3.32 |
| Dec 31, 2022 | 4.00 |
| Oct 1, 2022 | 3.78 |
| Jul 2, 2022 | 4.22 |
| Apr 2, 2022 | 5.61 |
| Dec 31, 2021 | 4.18 |
| Oct 2, 2021 | 4.79 |
API Access
Thermo Fisher Scientific EPS (Diluted) 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=eps-diluted&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();