Stryker (SYK) Dividends Paid - Common and Preferred (2009 - 2026)
Analysis
Stryker (SYK) 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 | 162.11 Bn | 141.76 Bn | 3.84 Bn | 281.00 Mn |
| 4 | Intuitive Surgical | 155.35 Bn | 135.64 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.92 Bn | 97.43 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 | 61.64 Bn | 44.85 Bn | 1.35 Bn | - |
| 9 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 72.00 Mn |
| 10 | GE HealthCare Technologies | 37.32 Bn | 25.55 Bn | 2.22 Bn | 16.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 338.00 Mn |
| Jun 30, 2026 | 337.00 Mn |
| Mar 31, 2026 | 337.00 Mn |
| Dec 31, 2025 | 321.00 Mn |
| Sep 30, 2025 | 322.00 Mn |
| Jun 30, 2025 | 321.00 Mn |
| Mar 31, 2025 | 320.00 Mn |
| Dec 31, 2024 | 305.00 Mn |
| Sep 30, 2024 | 305.00 Mn |
| Jun 30, 2024 | 305.00 Mn |
| Mar 31, 2024 | 304.00 Mn |
| Dec 31, 2023 | 285.00 Mn |
| Sep 30, 2023 | 285.00 Mn |
| Jun 30, 2023 | 285.00 Mn |
| Mar 31, 2023 | 284.00 Mn |
| Dec 31, 2022 | 263.00 Mn |
| Sep 30, 2022 | 263.00 Mn |
| Jun 30, 2022 | 263.00 Mn |
| Mar 31, 2022 | 262.00 Mn |
| Dec 31, 2021 | 237.00 Mn |
API Access
Stryker 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=SYK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "ticker": "SYK", "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=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();