Thermo Fisher Scientific (TMO) Shares Outstanding (2009 - 2026)
Thermo Fisher Scientific's Weighted Average Shares Outstanding came in at 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 (2009 - 2026) Analysis & Trends
For FY2025, Thermo Fisher Scientific's Weighted Average Shares Outstanding was 377 million, down 1.3% from FY2024.
- Weighted Average Shares Outstanding has declined in each of the last seven years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 382 million in FY2024 (-1.0%), 386 million in FY2023 (-1.5%), 392 million in FY2022 (-0.5%) and 394 million in FY2021 (-0.5%).
- The five-year range for quarterly Weighted Average Shares Outstanding is 371 million (Q2 2026) to 394 million (Q4 2021).
- Year-over-year, Weighted Average Shares Outstanding has declined for 31 consecutive quarters, with an average decline of 1.3% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding has ranged between 0.3% (Q2 2022) and 1.9% (Q2 2026) over the last five years.
- Business Quant data shows TMO's Weighted Average Shares Outstanding at 371 million (Q2 2026), 372 million (Q1 2026) and 377 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | 371.00 Mn |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | 1.74 Bn |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | 705.30 Mn |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | 383.50 Mn |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 274.79 Mn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | 576.40 Mn |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn | 282.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 371.00 Mn |
| Jun 27, 2026 | 371.00 Mn |
| Mar 28, 2026 | 372.00 Mn |
| Dec 31, 2025 | 377.00 Mn |
| Sep 27, 2025 | 378.00 Mn |
| Jun 28, 2025 | 378.00 Mn |
| Mar 29, 2025 | 378.00 Mn |
| Dec 31, 2024 | 382.00 Mn |
| Sep 28, 2024 | 382.00 Mn |
| Jun 29, 2024 | 382.00 Mn |
| Mar 30, 2024 | 382.00 Mn |
| Dec 31, 2023 | 386.00 Mn |
| Sep 30, 2023 | 386.00 Mn |
| Jul 1, 2023 | 386.00 Mn |
| Apr 1, 2023 | 386.00 Mn |
| Dec 31, 2022 | 392.00 Mn |
| Oct 1, 2022 | 392.00 Mn |
| Jul 2, 2022 | 392.00 Mn |
| Apr 2, 2022 | 392.00 Mn |
| Dec 31, 2021 | 394.00 Mn |
Thermo Fisher Scientific Shares Outstanding 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&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();