Thermo Fisher Scientific (TMO) EBITDA (2009 - 2026)
Thermo Fisher Scientific's EBITDA came in at $2.9 billion for Q2 2026, up 15.2% from $2.52 billion a year earlier and up 11.7% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Thermo Fisher Scientific reported EBITDA of $11.09 billion, up 7.9% year-over-year; for FY2025, it was $10.53 billion, up 0.8% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $10.45 billion in FY2024 (+1.8%), $10.27 billion in FY2023 (-12.8%), $11.77 billion in FY2022 (-6.7%) and $12.62 billion in FY2021 (+24.7%).
- The five-year range for quarterly EBITDA is $2.42 billion (Q1 2025) to $3.68 billion (Q1 2022).
- Year-over-year, EBITDA has increased for four consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2026 (growth of 15.2%), and the weakest in Q1 2023 (a decline of 34.2%).
- Business Quant data shows TMO's EBITDA at $2.6 billion (Q1 2026), $2.98 billion (Q4 2025) and $2.6 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.90 Bn |
| Mar 28, 2026 | 2.60 Bn |
| Dec 31, 2025 | 2.98 Bn |
| Sep 27, 2025 | 2.60 Bn |
| Jun 28, 2025 | 2.52 Bn |
| Mar 29, 2025 | 2.42 Bn |
| Dec 31, 2024 | 2.76 Bn |
| Sep 28, 2024 | 2.58 Bn |
| Jun 29, 2024 | 2.61 Bn |
| Mar 30, 2024 | 2.50 Bn |
| Dec 31, 2023 | 2.69 Bn |
| Sep 30, 2023 | 2.72 Bn |
| Jul 1, 2023 | 2.43 Bn |
| Apr 1, 2023 | 2.42 Bn |
| Dec 31, 2022 | 2.71 Bn |
| Oct 1, 2022 | 2.55 Bn |
| Jul 2, 2022 | 2.84 Bn |
| Apr 2, 2022 | 3.68 Bn |
| Dec 31, 2021 | 3.22 Bn |
| Oct 2, 2021 | 2.91 Bn |
API Access
Thermo Fisher Scientific 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=ebitda&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();