LogicMark (LGMK) Property, Plant & Equipment (Net) (2012 - 2026)
LogicMark's Property, Plant & Equipment (Net) came in at $152,646 for Q2 2026, up 151.2% from $60,761 a year earlier and up 19.0% from the prior quarter.
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Analysis
LogicMark (LGMK) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2025, LogicMark's Property, Plant & Equipment (Net) was $113,929, up 1.2% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $112,605 in FY2024 (-44.6%), $203,333 in FY2023 (-20.4%) and $255,578 in FY2022.
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q2 2024.
- Year-over-year, Property, Plant & Equipment (Net) has increased for three consecutive quarters, with an average decline of 6.0% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2023 (growth of 588.4%), and the weakest in Q2 2025 (a decline of 62.4%).
- Business Quant data shows LGMK's Property, Plant & Equipment (Net) at $128,325 (Q1 2026), $113,929 (Q4 2025) and $67,161 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | LogicMark | 1.02 Mn | -26.68 Mn | 2.37 Mn | 152,646.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152,646.00 |
| Mar 31, 2026 | 128,325.00 |
| Dec 31, 2025 | 113,929.00 |
| Sep 30, 2025 | 67,161.00 |
| Jun 30, 2025 | 60,761.00 |
| Mar 31, 2025 | 84,232.00 |
| Dec 31, 2024 | 112,605.00 |
| Sep 30, 2024 | 139,290.00 |
| Jun 30, 2024 | 161,501.00 |
| Mar 31, 2024 | 187,014.00 |
| Dec 31, 2023 | 203,333.00 |
| Sep 30, 2023 | 228,530.00 |
| Jun 30, 2023 | 253,472.00 |
| Mar 31, 2023 | 252,855.00 |
| Dec 31, 2022 | 255,578.00 |
| Sep 30, 2022 | 246,702.00 |
| Jun 30, 2022 | 172,138.00 |
| Mar 31, 2022 | 36,731.00 |
| Jun 30, 2021 | 1,804.00 |
| Mar 31, 2021 | 13,196.00 |
API Access
LogicMark Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();