Thermo Fisher Scientific (TMO) Income from Non-Controlling Interests (2021 - 2026)
Thermo Fisher Scientific's Income from Non-Controlling Interests was $5 million in Q2 2026, up 150.0% from $2 million a year earlier and unchanged from the prior quarter.
Thermo Fisher Scientific (TMO) Income from Non-Controlling Interests (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Thermo Fisher Scientific's Income from Non-Controlling Interests was $21 million through Jun 27, 2026; for FY2025, it was $17 million, up 466.7% from FY2024.
- Income from Non-Controlling Interests shows a five-year compound annual growth rate of 53.4% (FY2020 to FY2025).
- In earlier years, Income from Non-Controlling Interests was $3 million in FY2024, -$40 million in FY2023, $10 million in FY2022 (+233.3%) and $3 million in FY2021 (+50.0%).
- Quarterly Income from Non-Controlling Interests has moved between -$24 million (Q4 2023) and $6 million (Q4 2025) over five years.
- Compared with a year earlier, Income from Non-Controlling Interests was higher in two of the last four quarters, with growth averaging 27.1%.
- The best year-over-year quarter for Income from Non-Controlling Interests over five years was Q2 2024 (growth of 500.0%); the worst was Q2 2023 (a decline of 75.0%).
- Per Business Quant data, TMO's Income from Non-Controlling Interests in the three quarters before Q2 2026 was $5 million (Q1 2026), $6 million (Q4 2025) and $5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inc. Minority (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 5.00 Mn |
| 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 | 5.10 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 9.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | -2.00 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | -500,000.00 |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.00 Mn |
| Mar 28, 2026 | 5.00 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Sep 27, 2025 | 5.00 Mn |
| Jun 28, 2025 | 2.00 Mn |
| Mar 29, 2025 | 4.00 Mn |
| Dec 31, 2024 | -6.00 Mn |
| Jun 29, 2024 | 6.00 Mn |
| Mar 30, 2024 | 4.00 Mn |
| Dec 31, 2023 | -24.00 Mn |
| Sep 30, 2023 | -20.00 Mn |
| Jul 1, 2023 | 1.00 Mn |
| Apr 1, 2023 | 3.00 Mn |
| Dec 31, 2022 | -2.00 Mn |
| Oct 1, 2022 | 3.00 Mn |
| Jul 2, 2022 | 4.00 Mn |
| Apr 2, 2022 | 5.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Oct 2, 2021 | 1.00 Mn |
| Jul 3, 2021 | 1.00 Mn |
Thermo Fisher Scientific Income from Non-Controlling Interests 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=income-from-non-controlling-interests&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "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=income-from-non-controlling-interests&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();