LogicMark (LGMK) Non-Current Assets (2012 - 2026)
LogicMark (LGMK) posted Non-Current Assets of $8.36 million for Q2 2026, down 6.7% from $8.96 million a year earlier and down 1.4% from the prior quarter.
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Analysis
LogicMark (LGMK) Non-Current Assets (2012 - 2026) Analysis & Trends
At the end of FY2025, LogicMark's Non-Current Assets came in at $8.71 million, down 2.0% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- In prior years, LogicMark's Non-Current Assets was $8.88 million in FY2024 (-0.9%), $8.97 million in FY2023 (-44.3%), $16.11 million in FY2022 (+2.7%) and $15.68 million in FY2021 (-25.5%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q1 2022.
- On a year-over-year basis, Non-Current Assets has declined in each of the last four quarters, with an average decline of 7.8% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2023, with growth of 5.0%; the weakest was Q3 2024, with a decline of 45.5%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $8.48 million (Q1 2026), $8.71 million (Q4 2025) and $8.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.09 Bn | 228.12 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 180.55 Bn | 150.98 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 160.58 Bn | 144.39 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 157.75 Bn | 138.04 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 122.52 Bn | 87.77 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 118.16 Bn | 104.28 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.94 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 51.55 Bn | 35.55 Bn | 1.35 Bn | 7.05 Bn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | 8.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.36 Mn |
| Mar 31, 2026 | 8.48 Mn |
| Dec 31, 2025 | 8.71 Mn |
| Sep 30, 2025 | 8.85 Mn |
| Jun 30, 2025 | 8.96 Mn |
| Mar 31, 2025 | 8.73 Mn |
| Dec 31, 2024 | 8.88 Mn |
| Sep 30, 2024 | 9.03 Mn |
| Jun 30, 2024 | 8.95 Mn |
| Mar 31, 2024 | 8.96 Mn |
| Dec 31, 2023 | 8.97 Mn |
| Sep 30, 2023 | 16.58 Mn |
| Jun 30, 2023 | 16.33 Mn |
| Mar 31, 2023 | 16.14 Mn |
| Dec 31, 2022 | 16.11 Mn |
| Sep 30, 2022 | 15.79 Mn |
| Jun 30, 2022 | 15.71 Mn |
| Mar 31, 2022 | -14.04 Mn |
| Dec 31, 2021 | 15.68 Mn |
| Sep 30, 2021 | 20.41 Mn |
API Access
LogicMark Non-Current Assets 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=non-current-assets&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();