LogicMark (LGMK) Other Accumulated Expenses (2012 - 2026)
LogicMark's Other Accumulated Expenses came in at $112,871 for Q2 2026, down 46.0% from $209,200 a year earlier and down 41.7% from the prior quarter.
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Analysis
LogicMark (LGMK) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, LogicMark's Other Accumulated Expenses was $158,370, down 26.6% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $215,891 in FY2024 (+6.0%), $203,632 in FY2023 (+49.9%), $135,837 in FY2022 (+111.1%) and $64,346 in FY2021 (+18.1%).
- The Q2 2026 figure represents the lowest quarterly Other Accumulated Expenses since Q3 2023.
- Year-over-year, Other Accumulated Expenses has declined for four consecutive quarters, with growth averaging 63.3% over the last seven quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q3 2024 (growth of 491.9%), and the weakest in Q2 2022 (a decline of 93.5%).
- Business Quant data shows LGMK's Other Accumulated Expenses at $193,489 (Q1 2026), $158,370 (Q4 2025) and $262,255 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112,871.00 |
| Mar 31, 2026 | 193,489.00 |
| Dec 31, 2025 | 158,370.00 |
| Sep 30, 2025 | 262,255.00 |
| Jun 30, 2025 | 209,200.00 |
| Mar 31, 2025 | 228,664.00 |
| Dec 31, 2024 | 215,891.00 |
| Sep 30, 2024 | 388,071.00 |
| Jun 30, 2024 | 126,421.00 |
| Dec 31, 2023 | 203,632.00 |
| Sep 30, 2023 | 65,560.00 |
| Jun 30, 2023 | 65,875.00 |
| Mar 31, 2023 | 67,660.00 |
| Dec 31, 2022 | 135,837.00 |
| Sep 30, 2022 | 71,101.00 |
| Jun 30, 2022 | 69,771.00 |
| Mar 31, 2022 | 67,016.00 |
| Dec 31, 2021 | 64,346.00 |
| Sep 30, 2021 | 1.07 Mn |
| Jun 30, 2021 | 1.07 Mn |
API Access
LogicMark Other Accumulated Expenses 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=other-accumulated-expenses&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();