LogicMark (LGMK) Research & Development (2012 - 2026)
LogicMark's Research & Development came in at $91,447 for Q2 2026, down 33.8% from $138,115 a year earlier and down 25.9% from the prior quarter.
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Analysis
LogicMark (LGMK) Research & Development (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LogicMark reported Research & Development of $538,648, down 1.1% year-over-year; for FY2025, it was $617,369, up 10.5% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -11.1% (FY2020 to FY2025).
- Going back by year, Research & Development was $558,621 in FY2024 (-43.2%), $982,684 in FY2023 (-20.8%), $1.24 million in FY2022 (+33.1%) and $932,602 in FY2021 (-15.9%).
- The Q2 2026 figure represents the lowest quarterly Research & Development since Q1 2017.
- Year-over-year, Research & Development increased in three of the last eight quarters, with an average decline of 7.7%.
- The fastest year-over-year change in Research & Development over five years came in Q3 2022 (growth of 173.8%), and the weakest in Q3 2024 (a decline of 60.2%).
- Business Quant data shows LGMK's Research & Development at $123,436 (Q1 2026), $162,324 (Q4 2025) and $161,441 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 247.86 Bn | 226.89 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 177.43 Bn | 147.86 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 159.54 Bn | 143.35 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 157.40 Bn | 137.68 Bn | 2.08 Bn | 408.30 Mn |
| 5 | Medtronic | 122.54 Bn | 87.79 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 117.68 Bn | 103.80 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 66.64 Bn | 61.41 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 51.48 Bn | 35.49 Bn | 1.35 Bn | 278.90 Mn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | 91,447.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91,447.00 |
| Mar 31, 2026 | 123,436.00 |
| Dec 31, 2025 | 162,324.00 |
| Sep 30, 2025 | 161,441.00 |
| Jun 30, 2025 | 138,115.00 |
| Mar 31, 2025 | 155,489.00 |
| Dec 31, 2024 | 154,513.00 |
| Sep 30, 2024 | 96,650.00 |
| Jun 30, 2024 | 133,556.00 |
| Mar 31, 2024 | 173,902.00 |
| Dec 31, 2023 | 175,833.00 |
| Sep 30, 2023 | 242,697.00 |
| Jun 30, 2023 | 250,266.00 |
| Mar 31, 2023 | 313,887.00 |
| Dec 31, 2022 | 399,348.00 |
| Sep 30, 2022 | 374,842.00 |
| Jun 30, 2022 | 204,592.00 |
| Mar 31, 2022 | 262,484.00 |
| Dec 31, 2021 | 202,366.00 |
| Sep 30, 2021 | 136,891.00 |
API Access
LogicMark Research & Development 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=research-and-development&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();