Abbott Laboratories (ABT) Dividends Paid - Common and Preferred (2009 - 2026)
Analysis
Abbott Laboratories (ABT) Dividends Paid - Common and Preferred (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.20 Bn | 235.84 Bn | 5.13 Bn | 174.00 Mn |
| 2 | Abbott Laboratories | 185.80 Bn | 160.26 Bn | 7.39 Bn | 1.09 Bn |
| 3 | Danaher | 162.28 Bn | 141.94 Bn | 3.84 Bn | 281.00 Mn |
| 4 | Intuitive Surgical | 155.44 Bn | 135.73 Bn | 2.08 Bn | - |
| 5 | Medtronic | 132.01 Bn | 97.52 Bn | 6.34 Bn | 921.00 Mn |
| 6 | Stryker | 119.74 Bn | 105.93 Bn | 4.25 Bn | 338.00 Mn |
| 7 | Boston Scientific | 64.30 Bn | 59.73 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 61.70 Bn | 44.90 Bn | 1.35 Bn | - |
| 9 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 72.00 Mn |
| 10 | GE HealthCare Technologies | 37.39 Bn | 25.63 Bn | 2.22 Bn | 16.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.09 Bn |
| Jun 30, 2026 | 1.10 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 1.03 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 1.03 Bn |
| Dec 31, 2024 | 958.00 Mn |
| Sep 30, 2024 | 960.00 Mn |
| Jun 30, 2024 | 961.00 Mn |
| Mar 31, 2024 | 957.00 Mn |
| Dec 31, 2023 | 888.00 Mn |
| Sep 30, 2023 | 888.00 Mn |
| Jun 30, 2023 | 890.00 Mn |
| Mar 31, 2023 | 890.00 Mn |
| Dec 31, 2022 | 823.00 Mn |
| Sep 30, 2022 | 826.00 Mn |
| Jun 30, 2022 | 828.00 Mn |
| Mar 31, 2022 | 832.00 Mn |
| Dec 31, 2021 | 798.00 Mn |
API Access
Abbott Laboratories Dividends Paid - Common and Preferred 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=dividends-paid-common-and-prefferd&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();