LogicMark (LGMK) Intangibles (2016 - 2026)
LogicMark (LGMK) reported Intangibles of $1.03 million for Q2 2026, down 84.8% from $6.81 million a year earlier and down 15.6% from the prior quarter.
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Analysis
LogicMark (LGMK) Intangibles (2016 - 2026) Analysis & Trends
At the end of FY2025, LogicMark posted Intangibles of $1.41 million, down 35.0% from FY2024.
- Intangibles has a five-year compound annual growth rate of -23.0% (FY2020 to FY2025).
- By year, Intangibles came in at $2.18 million in FY2024 (-61.6%), $5.67 million in FY2023 (+53.2%), $3.7 million in FY2022 (-17.4%) and $4.48 million in FY2021 (-14.5%).
- The Q2 2026 figure ranks as the lowest quarterly Intangibles in data going back to Q3 2016.
- Year over year, Intangibles has now declined in each of the last four quarters, with an average decline of 1.5% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q2 2025 (growth of 166.3%); the low point was Q2 2026 (a decline of 84.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.22 million (Q1 2026), $1.41 million (Q4 2025) and $1.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 1.21 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 1.38 Bn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | 1.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Mn |
| Mar 31, 2026 | 1.22 Mn |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 1.60 Mn |
| Jun 30, 2025 | 6.81 Mn |
| Mar 31, 2025 | 6.62 Mn |
| Dec 31, 2024 | 2.18 Mn |
| Sep 30, 2024 | 2.37 Mn |
| Jun 30, 2024 | 2.56 Mn |
| Mar 31, 2024 | 2.75 Mn |
| Dec 31, 2023 | 5.67 Mn |
| Sep 30, 2023 | 3.13 Mn |
| Jun 30, 2023 | 3.32 Mn |
| Mar 31, 2023 | 3.51 Mn |
| Dec 31, 2022 | 3.70 Mn |
| Sep 30, 2022 | 3.90 Mn |
| Jun 30, 2022 | 4.09 Mn |
| Mar 31, 2022 | 4.28 Mn |
| Dec 31, 2021 | 4.48 Mn |
| Sep 30, 2021 | 4.67 Mn |
API Access
LogicMark 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=intangibles&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();