Thermo Fisher Scientific (TMO) EV to EBITDA (2009 - 2026)
Thermo Fisher Scientific's (TMO) EV to EBITDA stood at 16.75 in Q2 2026, up 16.4% from 14.39 a year earlier and up 3.8% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) EV to EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Thermo Fisher Scientific's EV to EBITDA came in at 15.23 as of Jun 27, 2026, up 20.6% year-over-year; for FY2025, it was 19.50, up 6.8% from FY2024.
- Across earlier years, EV to EBITDA came in at 18.27 in FY2024 (-3.6%), 18.94 in FY2023 (+9.4%), 17.31 in FY2022 (-14.9%) and 20.34 in FY2021 (+18.9%).
- Quarterly EV to EBITDA has ranged from 14.39 in Q2 2025 to 22.01 in Q3 2024 over the past five years.
- On a year-over-year basis, EV to EBITDA rose in three of the last eight quarters, with an average decline of 4.3%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 28.6% in Q1 2022, against a decline of 25.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.14 (Q1 2026), 19.50 (Q4 2025) and 16.60 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 16.75 |
| Mar 28, 2026 | 16.14 |
| Dec 31, 2025 | 19.50 |
| Sep 27, 2025 | 16.60 |
| Jun 28, 2025 | 14.39 |
| Mar 29, 2025 | 17.65 |
| Dec 31, 2024 | 18.27 |
| Sep 28, 2024 | 22.01 |
| Jun 29, 2024 | 19.25 |
| Mar 30, 2024 | 20.76 |
| Dec 31, 2023 | 18.94 |
| Sep 30, 2023 | 18.44 |
| Jul 1, 2023 | 19.62 |
| Apr 1, 2023 | 20.82 |
| Dec 31, 2022 | 17.31 |
| Oct 1, 2022 | 15.96 |
| Jul 2, 2022 | 16.85 |
| Apr 2, 2022 | 18.15 |
| Dec 31, 2021 | 20.34 |
| Oct 2, 2021 | 16.34 |
API Access
Thermo Fisher Scientific EV to EBITDA 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=ev-to-ebitda&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();