LogicMark (LGMK) Dividends Paid - Common and Prefferd (2022 - 2026)
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Analysis
LogicMark (LGMK) Dividends Paid - Common and Prefferd (2022 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | 175.00 Mn |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | 1.10 Bn |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | 283.00 Mn |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | 921.00 Mn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | 337.00 Mn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 286.00 Mn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | - |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | 75,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75,000.00 |
| Mar 31, 2026 | 75,000.00 |
| Dec 31, 2025 | 75,000.00 |
| Sep 30, 2025 | 75,000.00 |
| Jun 30, 2025 | 75,000.00 |
| Mar 31, 2025 | 75,000.00 |
| Dec 31, 2024 | 75,000.00 |
| Sep 30, 2024 | 75,000.00 |
| Jun 30, 2024 | 75,000.00 |
| Mar 31, 2024 | 75,000.00 |
| Dec 31, 2023 | 75,000.00 |
| Sep 30, 2023 | 75,000.00 |
| Jun 30, 2023 | 75,000.00 |
| Mar 31, 2023 | 75,000.00 |
| Dec 31, 2022 | 75,000.00 |
| Sep 30, 2022 | 75,000.00 |
| Jun 30, 2022 | 75,000.00 |
| Mar 31, 2022 | 75,000.00 |
API Access
LogicMark Dividends Paid - Common and Prefferd 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=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "ticker": "LGMK", "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=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();