Thermo Fisher Scientific (TMO) Retained Earnings (2009 - 2026)
Thermo Fisher Scientific (TMO) recorded Retained Earnings of $62.19 billion in Q2 2026, up 11.3% from $55.9 billion a year earlier and up 2.6% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific reported Retained Earnings of $59.16 billion, up 11.4% from FY2024.
- Annual Retained Earnings has increased for 16 straight years, with a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $53.1 billion in FY2024 (+12.1%), $47.36 billion in FY2023 (+13.0%), $41.91 billion in FY2022 (+18.3%) and $35.43 billion in FY2021 (+26.0%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q2 2009.
- On a year-over-year basis, Retained Earnings has increased for 60 consecutive quarters, with growth averaging 11.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 11.3% in Q2 2026 to 31.8% in Q3 2021.
- Per Business Quant, the preceding three quarters came in at $60.63 billion (Q1 2026), $59.16 billion (Q4 2025) and $57.35 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 17.51 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 14.86 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 62.19 Bn |
| Mar 28, 2026 | 60.63 Bn |
| Dec 31, 2025 | 59.16 Bn |
| Sep 27, 2025 | 57.35 Bn |
| Jun 28, 2025 | 55.90 Bn |
| Mar 29, 2025 | 54.45 Bn |
| Dec 31, 2024 | 53.10 Bn |
| Sep 28, 2024 | 51.42 Bn |
| Jun 29, 2024 | 49.94 Bn |
| Mar 30, 2024 | 48.54 Bn |
| Dec 31, 2023 | 47.36 Bn |
| Sep 30, 2023 | 45.87 Bn |
| Jul 1, 2023 | 44.29 Bn |
| Apr 1, 2023 | 43.06 Bn |
| Dec 31, 2022 | 41.91 Bn |
| Oct 1, 2022 | 40.45 Bn |
| Jul 2, 2022 | 39.07 Bn |
| Apr 2, 2022 | 37.53 Bn |
| Dec 31, 2021 | 35.43 Bn |
| Oct 2, 2021 | 33.88 Bn |
API Access
Thermo Fisher Scientific Retained Earnings 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=retained-earnings&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();