Thermo Fisher Scientific (TMO) Treasury Shares (2009 - 2026)
Thermo Fisher Scientific (TMO) posted Treasury Shares of $26.37 billion for Q2 2026, up 24.0% from $21.27 billion a year earlier and up 4.0% from the prior quarter.
Thermo Fisher Scientific (TMO) Treasury Shares (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific's Treasury Shares came in at $22.31 billion, up 16.0% from FY2024.
- Annual Treasury Shares has increased for 12 consecutive years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- In prior years, Thermo Fisher Scientific's Treasury Shares was $19.23 billion in FY2024 (+27.0%), $15.13 billion in FY2023 (+25.9%), $12.02 billion in FY2022 (+34.7%) and $8.92 billion in FY2021 (+30.9%).
- The Q2 2026 figure stands as the highest quarterly Treasury Shares in data going back to Q2 2009.
- On a year-over-year basis, Treasury Shares has increased in each of the last 47 quarters, with growth averaging 20.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Treasury Shares ran from 16.0% in Q4 2025 to 37.6% in Q1 2023.
- According to Business Quant data, Treasury Shares for the three prior quarters was $25.36 billion (Q1 2026), $22.31 billion (Q4 2025) and $22.31 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 75.93 Mn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 267.91 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 12.32 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | - |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 303.21 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 98.21 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 85.10 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 75.93 Mn |
| Mar 28, 2026 | 73.85 Mn |
| Dec 31, 2025 | 68.94 Mn |
| Sep 27, 2025 | 68.94 Mn |
| Jun 28, 2025 | 66.75 Mn |
| Mar 29, 2025 | 66.75 Mn |
| Dec 31, 2024 | 63.07 Mn |
| Sep 28, 2024 | 61.18 Mn |
| Jun 29, 2024 | 61.11 Mn |
| Mar 30, 2024 | 61.11 Mn |
| Dec 31, 2023 | 55.54 Mn |
| Sep 30, 2023 | 55.52 Mn |
| Jul 1, 2023 | 55.45 Mn |
| Apr 1, 2023 | 55.45 Mn |
| Dec 31, 2022 | 50.16 Mn |
| Oct 1, 2022 | 48.16 Mn |
| Jul 2, 2022 | 48.07 Mn |
| Apr 2, 2022 | 48.07 Mn |
| Dec 31, 2021 | 44.72 Mn |
| Oct 2, 2021 | 45.00 Mn |
Thermo Fisher Scientific Treasury Shares 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=treasury-shares&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();