Thermo Fisher Scientific (TMO) Shares Outstanding (Diluted) (2009 - 2026)
Thermo Fisher Scientific (TMO) reported Weighted Average Shares Outstanding (Diluted) of 371 million for Q3 2026, down 1.9% from 378 million a year earlier and unchanged from the prior quarter.
Thermo Fisher Scientific (TMO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Thermo Fisher Scientific posted Weighted Average Shares Outstanding (Diluted) of 378 million, down 1.3% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has declined for seven consecutive years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 383 million in FY2024 (-1.3%), 388 million in FY2023 (-1.5%), 394 million in FY2022 (-0.8%) and 397 million in FY2021 (-0.5%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 371 million in Q2 2026 and a high of 397 million in Q4 2021.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last 31 quarters, with an average decline of 1.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Weighted Average Shares Outstanding (Diluted) ran from 0.5% in Q4 2021 to 1.9% in Q2 2026.
- Per Business Quant data, the three quarters before Q3 2026 came in at 371 million (Q2 2026), 373 million (Q1 2026) and 378 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 255.07 Bn | 255.07 Bn | - | 371.00 Mn |
| 2 | Abbott Laboratories | 189.64 Bn | 189.64 Bn | - | 1.74 Bn |
| 3 | Danaher | 162.51 Bn | 146.32 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 153.49 Bn | 133.78 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 124.84 Bn | 90.10 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 114.66 Bn | 114.66 Bn | - | 386.00 Mn |
| 7 | Boston Scientific | 63.50 Bn | 63.50 Bn | 3.43 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 275.16 Mn |
| 9 | Edwards Lifesciences | 54.36 Bn | 38.37 Bn | 1.35 Bn | 577.60 Mn |
| 10 | Agilent Technologies | 49.13 Bn | 42.02 Bn | 1.04 Bn | 283.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 371.00 Mn |
| Jun 27, 2026 | 371.00 Mn |
| Mar 28, 2026 | 373.00 Mn |
| Dec 31, 2025 | 378.00 Mn |
| Sep 27, 2025 | 378.00 Mn |
| Jun 28, 2025 | 378.00 Mn |
| Mar 29, 2025 | 379.00 Mn |
| Dec 31, 2024 | 383.00 Mn |
| Sep 28, 2024 | 384.00 Mn |
| Jun 29, 2024 | 383.00 Mn |
| Mar 30, 2024 | 384.00 Mn |
| Dec 31, 2023 | 388.00 Mn |
| Sep 30, 2023 | 388.00 Mn |
| Jul 1, 2023 | 388.00 Mn |
| Apr 1, 2023 | 388.00 Mn |
| Dec 31, 2022 | 394.00 Mn |
| Oct 1, 2022 | 395.00 Mn |
| Jul 2, 2022 | 394.00 Mn |
| Apr 2, 2022 | 395.00 Mn |
| Dec 31, 2021 | 397.00 Mn |
Thermo Fisher Scientific Shares Outstanding (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=shares-outstanding-diluted&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();