Thermo Fisher Scientific (TMO) Price to Earnings (2009 - 2026)
Thermo Fisher Scientific's Price to Earnings was 27.23 in Q2 2026, up 16.3% from 23.42 a year earlier and up 6.0% from the prior quarter.
Analysis
Thermo Fisher Scientific (TMO) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Thermo Fisher Scientific came in at 32.11, up 3.6% from FY2024.
- In earlier years, Price to Earnings was 30.98 in FY2024 (-8.2%), 33.76 in FY2023 (+10.5%), 30.54 in FY2022 (-9.6%) and 33.79 in FY2021 (+17.4%).
- Quarterly Price to Earnings has moved between 23.42 (Q2 2025) and 38.30 (Q3 2024) over five years.
- Compared with a year earlier, Price to Earnings was higher in three of the last eight quarters, with an average decline of 8.3%.
- The best year-over-year quarter for Price to Earnings over five years was Q1 2022 (growth of 34.8%); the worst was Q2 2025 (a decline of 31.0%).
- Per Business Quant data, TMO's Price to Earnings in the three quarters before Q2 2026 was 25.69 (Q1 2026), 32.11 (Q4 2025) and 26.55 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 46.99 Bn | 39.88 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 27.23 |
| Mar 28, 2026 | 25.69 |
| Dec 31, 2025 | 32.11 |
| Sep 27, 2025 | 26.55 |
| Jun 28, 2025 | 23.42 |
| Mar 29, 2025 | 28.98 |
| Dec 31, 2024 | 30.98 |
| Sep 28, 2024 | 38.30 |
| Jun 29, 2024 | 33.96 |
| Mar 30, 2024 | 36.77 |
| Dec 31, 2023 | 33.76 |
| Sep 30, 2023 | 32.92 |
| Jul 1, 2023 | 35.20 |
| Apr 1, 2023 | 36.91 |
| Dec 31, 2022 | 30.54 |
| Oct 1, 2022 | 28.29 |
| Jul 2, 2022 | 28.88 |
| Apr 2, 2022 | 30.50 |
| Dec 31, 2021 | 33.79 |
| Oct 2, 2021 | 26.35 |
API Access
Thermo Fisher Scientific Price to Earnings 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=price-to-earnings&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();