Thermo Fisher Scientific (TMO) Cash from Operations (2009 - 2026)
Thermo Fisher Scientific (TMO) reported Cash from Operations of $2.13 billion for Q2 2026, up 51.9% from $1.4 billion a year earlier and up 78.3% from the prior quarter.
Thermo Fisher Scientific (TMO) Cash from Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Thermo Fisher Scientific's Cash from Operations came in at $9.01 billion, up 18.9% year-over-year; for FY2025, it came in at $7.82 billion, down 9.8% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- By year, Cash from Operations came in at $8.67 billion in FY2024 (+3.1%), $8.41 billion in FY2023 (-8.2%), $9.15 billion in FY2022 (-1.7%) and $9.31 billion in FY2021 (+12.3%).
- Five-year quarterly Cash from Operations spans a low of $723 million in Q1 2025 and a high of $3.72 billion in Q4 2023.
- Year over year, Cash from Operations has now increased in each of the last four quarters, with growth averaging 4.1% over the last eight quarters.
- The high point for year-over-year Cash from Operations in five years was Q1 2024 (growth of 71.6%); the low point was Q1 2023 (a decline of 66.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.19 billion (Q1 2026), $3.46 billion (Q4 2025) and $2.24 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 776.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 651.90 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 519.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.13 Bn |
| Mar 28, 2026 | 1.19 Bn |
| Dec 31, 2025 | 3.46 Bn |
| Sep 27, 2025 | 2.24 Bn |
| Jun 28, 2025 | 1.40 Bn |
| Mar 29, 2025 | 723.00 Mn |
| Dec 31, 2024 | 3.29 Bn |
| Sep 28, 2024 | 2.17 Bn |
| Jun 29, 2024 | 1.96 Bn |
| Mar 30, 2024 | 1.25 Bn |
| Dec 31, 2023 | 3.72 Bn |
| Sep 30, 2023 | 2.41 Bn |
| Jul 1, 2023 | 1.54 Bn |
| Apr 1, 2023 | 729.00 Mn |
| Dec 31, 2022 | 3.49 Bn |
| Oct 1, 2022 | 1.94 Bn |
| Jul 2, 2022 | 1.53 Bn |
| Apr 2, 2022 | 2.20 Bn |
| Dec 31, 2021 | 2.46 Bn |
| Oct 2, 2021 | 2.65 Bn |
Thermo Fisher Scientific Cash from Operations 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=cash-from-operations&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();