Abbott Laboratories (ABT) Retained Earnings (2009 - 2026)
Abbott Laboratories' Retained Earnings came in at $49.79 billion for Q2 2026, up 2.7% from $48.47 billion a year earlier but down 0.3% from the prior quarter.
Abbott Laboratories (ABT) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Abbott Laboratories' Retained Earnings was $49.78 billion, up 5.3% from FY2024.
- Retained Earnings has increased in each of the last eight years, with a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $47.26 billion in FY2024 (+25.8%), $37.55 billion in FY2023 (+6.5%), $35.26 billion in FY2022 (+11.8%) and $31.53 billion in FY2021 (+14.1%).
- The five-year range for quarterly Retained Earnings is $30.38 billion (Q3 2021) to $49.96 billion (Q1 2026).
- Year-over-year, Retained Earnings has increased for 31 consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 2.7% (Q2 2026) to 26.4% (Q2 2025).
- Business Quant data shows ABT's Retained Earnings at $49.96 billion (Q1 2026), $49.78 billion (Q4 2025) and $49.1 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 17.51 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 14.86 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 1.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.79 Bn |
| Mar 31, 2026 | 49.96 Bn |
| Dec 31, 2025 | 49.78 Bn |
| Sep 30, 2025 | 49.10 Bn |
| Jun 30, 2025 | 48.47 Bn |
| Mar 31, 2025 | 47.72 Bn |
| Dec 31, 2024 | 47.26 Bn |
| Sep 30, 2024 | 39.06 Bn |
| Jun 30, 2024 | 38.35 Bn |
| Mar 31, 2024 | 38.01 Bn |
| Dec 31, 2023 | 37.55 Bn |
| Sep 30, 2023 | 36.92 Bn |
| Jun 30, 2023 | 36.36 Bn |
| Mar 31, 2023 | 35.87 Bn |
| Dec 31, 2022 | 35.26 Bn |
| Sep 30, 2022 | 35.12 Bn |
| Jun 30, 2022 | 34.49 Bn |
| Mar 31, 2022 | 33.30 Bn |
| Dec 31, 2021 | 31.53 Bn |
| Sep 30, 2021 | 30.38 Bn |
Abbott Laboratories 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=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "ABT", "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=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();