LogicMark (LGMK) Share-based Compensation (2012 - 2026)
LogicMark's Share-based Compensation was $431,695 in Q2 2026, up 13.4% from $380,693 a year earlier and up 441.3% from the prior quarter.
LogicMark (LGMK) Share-based Compensation (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, LogicMark's Share-based Compensation was $921,613 through Jun 30, 2026, down 43.9% year-over-year; for FY2025, it came in at $1.25 million, down 23.9% from FY2024.
- Share-based Compensation shows a five-year compound annual growth rate of 50.7% (FY2020 to FY2025).
- In earlier years, Share-based Compensation was $1.64 million in FY2024 (+3.7%), $1.58 million in FY2023 (-4.1%), $1.64 million in FY2022 (-42.9%) and $2.88 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Share-based Compensation since Q1 2025.
- Compared with a year earlier, Share-based Compensation was higher in three of the last eight quarters, with an average decline of 19.8%.
- The best year-over-year quarter for Share-based Compensation over five years was Q3 2021 (growth of 420.0%); the worst was Q4 2022 (a decline of 82.8%).
- Per Business Quant data, LGMK's Share-based Compensation in the three quarters before Q2 2026 was $79,745 (Q1 2026), $271,397 (Q4 2025) and $138,776 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Stock Comp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 82.00 Mn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 168.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 93.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 212.60 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 125.00 Mn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 54.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 87.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 55.00 Mn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 42.20 Mn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | 431,695.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 431,695.00 |
| Mar 31, 2026 | 79,800.00 |
| Dec 31, 2025 | 271,397.00 |
| Sep 30, 2025 | 138,776.00 |
| Jun 30, 2025 | 380,693.00 |
| Mar 31, 2025 | 500,000.00 |
| Dec 31, 2024 | 395,305.00 |
| Sep 30, 2024 | 411,895.00 |
| Jun 30, 2024 | 408,512.00 |
| Mar 31, 2024 | 417,687.00 |
| Dec 31, 2023 | 387,721.00 |
| Sep 30, 2023 | 406,097.00 |
| Jun 30, 2023 | 400,000.00 |
| Mar 31, 2023 | 429,045.00 |
| Dec 31, 2022 | 444,269.00 |
| Sep 30, 2022 | 500,000.00 |
| Jun 30, 2022 | 114,117.00 |
| Mar 31, 2022 | 629,802.00 |
| Dec 31, 2021 | 2.59 Mn |
| Sep 30, 2021 | 208,000.00 |
LogicMark Share-based Compensation 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=share-based-compensation&ticker=LGMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "share-based-compensation", "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=share-based-compensation&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();