Thermo Fisher Scientific (TMO) Treasury Shares (2009 - 2026)
Thermo Fisher Scientific (TMO) posted Treasury Stock 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.
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Analysis
Thermo Fisher Scientific (TMO) Treasury Shares (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific's Treasury Stock came in at $22.31 billion, up 16.0% from FY2024.
- Annual Treasury Stock 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 Stock 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 Stock in data going back to Q2 2009.
- On a year-over-year basis, Treasury Stock 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 Stock ran from 16.0% in Q4 2025 to 37.6% in Q1 2023.
- According to Business Quant data, Treasury Stock for the three prior quarters was $25.36 billion (Q1 2026), $22.31 billion (Q4 2025) and $22.31 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | - |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | - |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | - |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | - |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 98.21 Mn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | 85.10 Mn |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn | - |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();