LogicMark (LGMK) Cash & Equivalents (2012 - 2026)
LogicMark (LGMK) posted Cash & Equivalents of $3.5 million for Q2 2026, down 30.2% from $5.01 million a year earlier but up 65.9% from the prior quarter.
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Analysis
LogicMark (LGMK) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, LogicMark's Cash & Equivalents came in at $3.57 million, down 6.3% from FY2024.
- Annual Cash & Equivalents has declined for four consecutive years, with a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In prior years, LogicMark's Cash & Equivalents was $3.81 million in FY2024 (-40.5%), $6.4 million in FY2023 (-9.1%), $7.04 million in FY2022 (-42.6%) and $12.25 million in FY2021 (+170.1%).
- Quarterly Cash & Equivalents has run from a low of $2.11 million in Q1 2026 to a high of $16.23 million in Q3 2021 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last four quarters, with an average decline of 6.2% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2021, with growth of 623.8%; the weakest was Q1 2026, with a decline of 76.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $2.11 million (Q1 2026), $3.57 million (Q4 2025) and $4.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | LogicMark | 1.02 Mn | -26.68 Mn | 2.37 Mn | 3.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.50 Mn |
| Mar 31, 2026 | 2.11 Mn |
| Dec 31, 2025 | 3.57 Mn |
| Sep 30, 2025 | 4.12 Mn |
| Jun 30, 2025 | 5.01 Mn |
| Mar 31, 2025 | 8.99 Mn |
| Dec 31, 2024 | 3.81 Mn |
| Sep 30, 2024 | 5.59 Mn |
| Jun 30, 2024 | 2.96 Mn |
| Mar 31, 2024 | 5.05 Mn |
| Dec 31, 2023 | 6.40 Mn |
| Sep 30, 2023 | 6.74 Mn |
| Jun 30, 2023 | 7.71 Mn |
| Mar 31, 2023 | 9.84 Mn |
| Dec 31, 2022 | 7.04 Mn |
| Sep 30, 2022 | 9.39 Mn |
| Jun 30, 2022 | 11.20 Mn |
| Mar 31, 2022 | 12.44 Mn |
| Dec 31, 2021 | 12.25 Mn |
| Sep 30, 2021 | 16.23 Mn |
API Access
LogicMark Cash & Equivalents 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=cash-and-equivalents&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();