Thermo Fisher Scientific (TMO) Enterprise Value (2009 - 2026)
Thermo Fisher Scientific's Enterprise Value was $185.75 billion in Q2 2026, up 25.6% from $147.91 billion a year earlier and up 7.5% from the prior quarter.
Thermo Fisher Scientific (TMO) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Thermo Fisher Scientific's Enterprise Value was $168.84 billion through Jun 27, 2026, up 30.1% year-over-year; for FY2025, it was $205.27 billion, up 7.6% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $190.81 billion in FY2024 (-1.9%), $194.43 billion in FY2023 (-4.6%), $203.84 billion in FY2022 (-20.6%) and $256.66 billion in FY2021 (+48.3%).
- Quarterly Enterprise Value has moved between $147.91 billion (Q2 2025) and $256.66 billion (Q4 2021) over five years.
- Compared with a year earlier, Enterprise Value was higher in three of the last eight quarters, with an average decline of 2.6%.
- The best year-over-year quarter for Enterprise Value over five years was Q4 2021 (growth of 48.3%); the worst was Q2 2025 (a decline of 27.0%).
- Per Business Quant data, TMO's Enterprise Value in the three quarters before Q2 2026 was $172.78 billion (Q1 2026), $205.27 billion (Q4 2025) and $171 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 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 |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 185.75 Bn |
| Mar 28, 2026 | 172.78 Bn |
| Dec 31, 2025 | 205.27 Bn |
| Sep 27, 2025 | 171.00 Bn |
| Jun 28, 2025 | 147.91 Bn |
| Mar 29, 2025 | 182.99 Bn |
| Dec 31, 2024 | 190.81 Bn |
| Sep 28, 2024 | 228.50 Bn |
| Jun 29, 2024 | 202.54 Bn |
| Mar 30, 2024 | 214.73 Bn |
| Dec 31, 2023 | 194.43 Bn |
| Sep 30, 2023 | 189.54 Bn |
| Jul 1, 2023 | 198.35 Bn |
| Apr 1, 2023 | 218.96 Bn |
| Dec 31, 2022 | 203.84 Bn |
| Oct 1, 2022 | 196.12 Bn |
| Jul 2, 2022 | 213.04 Bn |
| Apr 2, 2022 | 229.24 Bn |
| Dec 31, 2021 | 256.66 Bn |
| Oct 2, 2021 | 213.65 Bn |
Thermo Fisher Scientific Enterprise Value 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=enterprise-value&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();