LogicMark (LGMK) Change in Intangibles (2022 - 2026)
LogicMark (LGMK) posted Change in Intangibles of $47,933 for Q2 2026, down 89.8% from $468,425 a year earlier and down 6.1% from the prior quarter.
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Analysis
LogicMark (LGMK) Change in Intangibles (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Intangibles at LogicMark was $574,323, down 54.3% year-over-year; for FY2025, it came in at $1.12 million, up 11.8% from FY2024.
- Annual Change in Intangibles has increased for three consecutive years, with a three-year compound annual growth rate of 19.1% (FY2022 to FY2025).
- In prior years, LogicMark's Change in Intangibles was $999,708 in FY2024 (+32.0%), $757,396 in FY2023 (+14.5%) and $661,673 in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Change in Intangibles since Q2 2023.
- On a year-over-year basis, Change in Intangibles has declined in each of the last three quarters, with an average decline of 5.8% over the last eight quarters.
- The strongest year-over-year quarter for Change in Intangibles in the past five years was Q3 2023, with growth of 584.0%; the weakest was Q2 2026, with a decline of 89.8%.
- According to Business Quant data, Change in Intangibles for the three prior quarters was $51,032 (Q1 2026), $141,934 (Q4 2025) and $333,424 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | LogicMark | 1.02 Mn | -26.68 Mn | 2.37 Mn | 47,933.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47,933.00 |
| Mar 31, 2026 | 51,032.00 |
| Dec 31, 2025 | 141,934.00 |
| Sep 30, 2025 | 333,424.00 |
| Jun 30, 2025 | 468,425.00 |
| Mar 31, 2025 | 173,524.00 |
| Dec 31, 2024 | 312,947.00 |
| Sep 30, 2024 | 302,022.00 |
| Jun 30, 2024 | 252,984.00 |
| Mar 31, 2024 | 131,755.00 |
| Dec 31, 2023 | 173,835.00 |
| Sep 30, 2023 | 493,511.00 |
| Jun 30, 2023 | -47,830.00 |
| Mar 31, 2023 | 137,880.00 |
| Dec 31, 2022 | 413,237.00 |
| Sep 30, 2022 | 72,151.00 |
API Access
LogicMark Change in Intangibles 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=change-in-intangibles&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-intangibles", "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=change-in-intangibles&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();