LogicMark (LGMK) Amortizatization of Intangibles (2016 - 2026)
LogicMark (LGMK) recorded Amortizatization of Intangibles of $180,898 in Q2 2026, unchanged from $180,898 a year earlier and down 9.6% from the prior quarter.
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Analysis
LogicMark (LGMK) Amortizatization of Intangibles (2016 - 2026) Analysis & Trends
On a TTM basis, LogicMark's Amortizatization of Intangibles came in at $761,796 as of Jun 30, 2026, unchanged year-over-year; for FY2025, it came in at $761,796, unchanged from FY2024.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $761,796 in FY2024 (unchanged), $761,796 in FY2023 (-1.9%), $776,793 in FY2022 (+2.0%) and $761,815 in FY2021 (unchanged).
- Quarterly Amortizatization of Intangibles has ranged from $180,898 in Q2 2025 to $200,000 in Q1 2026 over the past five years.
- On a year-over-year basis, Amortizatization of Intangibles rose in 1 of the last eight quarters, with an average year-over-year change of 0.0%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 5.0% in Q1 2025, against a decline of 5.0% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $200,000 (Q1 2026), $190,449 (Q4 2025) and $190,449 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 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 | 180,898.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 180,898.00 |
| Mar 31, 2026 | 200,000.00 |
| Dec 31, 2025 | 190,449.00 |
| Sep 30, 2025 | 190,449.00 |
| Jun 30, 2025 | 180,898.00 |
| Mar 31, 2025 | 200,000.00 |
| Dec 31, 2024 | 190,449.00 |
| Sep 30, 2024 | 190,449.00 |
| Jun 30, 2024 | 190,449.00 |
| Mar 31, 2024 | 190,449.00 |
| Dec 31, 2023 | 190,449.00 |
| Sep 30, 2023 | 190,449.00 |
| Jun 30, 2023 | 190,449.00 |
| Mar 31, 2023 | 190,449.00 |
| Dec 31, 2022 | 194,276.00 |
| Sep 30, 2022 | 194,233.00 |
| Jun 30, 2022 | 194,178.00 |
| Mar 31, 2022 | 194,106.00 |
| Dec 31, 2021 | 192,019.00 |
| Sep 30, 2021 | 192,019.00 |
API Access
LogicMark Amortizatization of 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=amortizatization-of-intangibles&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();