LogicMark (LGMK) Liabilities and Shareholders Equity (2012 - 2026)
LogicMark (LGMK) reported Liabilities and Shareholders Equity of $17.03 million for Q2 2026, down 27.4% from $23.45 million a year earlier and down 8.0% from the prior quarter.
LogicMark (LGMK) Liabilities and Shareholders Equity (2012 - 2026) Analysis & Trends
At the end of FY2025, LogicMark posted Liabilities and Shareholders Equity of $20.31 million, up 42.8% from FY2024.
- Liabilities and Shareholders Equity has a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- By year, Liabilities and Shareholders Equity came in at $14.22 million in FY2024 (-16.4%), $17.02 million in FY2023 (-33.6%), $25.64 million in FY2022 (-14.9%) and $30.12 million in FY2021 (+11.8%).
- The Q2 2026 figure ranks as the lowest quarterly Liabilities and Shareholders Equity since Q4 2024.
- Year over year, Liabilities and Shareholders Equity gained in four of the last eight quarters, with growth averaging 13.9%.
- The high point for year-over-year Liabilities and Shareholders Equity in five years was Q2 2025 (growth of 75.3%); the low point was Q1 2022 (a decline of 99.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.51 million (Q1 2026), $20.31 million (Q4 2025) and $22.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Liabilities and Shareholders Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.38 Bn | 228.41 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 180.66 Bn | 151.09 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 160.96 Bn | 144.76 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 157.96 Bn | 138.25 Bn | 2.08 Bn | 19.35 Bn |
| 5 | Medtronic | 122.64 Bn | 87.89 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 118.28 Bn | 104.40 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 67.11 Bn | 61.88 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Becton Dickinson | 54.81 Bn | 51.96 Bn | 2.32 Bn | 50.73 Bn |
| 9 | Edwards Lifesciences | 51.51 Bn | 35.52 Bn | 1.35 Bn | 13.87 Bn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | 17.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.03 Mn |
| Mar 31, 2026 | 18.51 Mn |
| Dec 31, 2025 | 20.31 Mn |
| Sep 30, 2025 | 22.37 Mn |
| Jun 30, 2025 | 23.45 Mn |
| Mar 31, 2025 | 25.22 Mn |
| Dec 31, 2024 | 14.22 Mn |
| Sep 30, 2024 | 16.04 Mn |
| Jun 30, 2024 | 13.37 Mn |
| Mar 31, 2024 | 15.74 Mn |
| Dec 31, 2023 | 17.02 Mn |
| Sep 30, 2023 | 25.15 Mn |
| Jun 30, 2023 | 25.64 Mn |
| Mar 31, 2023 | 27.46 Mn |
| Dec 31, 2022 | 25.64 Mn |
| Sep 30, 2022 | 27.56 Mn |
| Jun 30, 2022 | 28.57 Mn |
| Mar 31, 2022 | 300,000.00 |
| Dec 31, 2021 | 30.12 Mn |
| Sep 30, 2021 | 38.39 Mn |
LogicMark Liabilities and Shareholders Equity 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=liabilities-and-shareholders-equity&ticker=LGMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-and-shareholders-equity", "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=liabilities-and-shareholders-equity&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();