LogicMark (LGMK) Current Leases (2023 - 2026)
LogicMark's Current Leases came in at $53,951 for Q2 2026, up 23.4% from $43,714 a year earlier and up 5.1% from the prior quarter.
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Analysis
LogicMark (LGMK) Current Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, LogicMark's Current Leases was $48,821, down 5.8% from FY2024.
- Going back by year, Current Leases was $51,841 in FY2024 (-24.1%) and $68,321 in FY2023.
- The Q2 2026 figure represents the highest quarterly Current Leases since Q3 2024.
- Year-over-year, Current Leases increased in two of the last six quarters, with an average decline of 4.2%.
- Business Quant data shows LGMK's Current Leases at $51,345 (Q1 2026), $48,821 (Q4 2025) and $46,378 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Leases (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | - |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | - |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | 53,951.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53,951.00 |
| Mar 31, 2026 | 51,345.00 |
| Dec 31, 2025 | 48,821.00 |
| Sep 30, 2025 | 46,378.00 |
| Jun 30, 2025 | 43,714.00 |
| Mar 31, 2025 | 32,922.00 |
| Dec 31, 2024 | 51,841.00 |
| Sep 30, 2024 | 70,158.00 |
| Jun 30, 2024 | 74,116.00 |
| Dec 31, 2023 | 68,321.00 |
API Access
LogicMark Current Leases 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=current-leases&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-leases", "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=current-leases&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();