LogicMark (LGMK) Gross Margin (2012 - 2026)
LogicMark's Gross Margin came in at 70.71% for Q2 2026, up 3.16 percentage points from 67.55% a year earlier and up 1.12 percentage points from the prior quarter.
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Analysis
LogicMark (LGMK) Gross Margin (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LogicMark reported Gross Margin of 69.06%, up 3.04 percentage points year-over-year; for FY2025, it came in at 66.79%, down 0.03 percentage points from FY2024.
- Gross Margin carries a five-year change of -0.30 percentage points (FY2020 to FY2025).
- Going back by year, Gross Margin was 66.81% in FY2024 (-0.25 pp), 67.07% in FY2023 (+6.39 pp), 60.68% in FY2022 (+2.96 pp) and 57.72% in FY2021 (-9.36 pp).
- The Q2 2026 figure represents the highest quarterly Gross Margin since Q3 2020.
- Year-over-year, Gross Margin has increased for three consecutive quarters, with an average year-over-year change of +1.03 percentage points over the last eight quarters.
- The fastest year-over-year change in Gross Margin over five years came in Q4 2021 (a gain of 15.95 percentage points), and the weakest in Q3 2021 (a drop of 23.85 percentage points).
- Business Quant data shows LGMK's Gross Margin at 69.59% (Q1 2026), 69.78% (Q4 2025) and 65.83% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 247.86 Bn | 226.89 Bn | 4.88 Bn | 40.70% |
| 2 | Abbott Laboratories | 177.43 Bn | 147.86 Bn | 7.27 Bn | 57.71% |
| 3 | Danaher | 159.54 Bn | 143.35 Bn | 3.61 Bn | 57.64% |
| 4 | Intuitive Surgical | 157.40 Bn | 137.68 Bn | 2.08 Bn | 68.37% |
| 5 | Medtronic | 122.54 Bn | 87.79 Bn | 6.34 Bn | 64.99% |
| 6 | Stryker | 117.68 Bn | 103.80 Bn | 4.50 Bn | 68.27% |
| 7 | Boston Scientific | 66.64 Bn | 61.41 Bn | 3.85 Bn | 70.71% |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 46.46% |
| 9 | Edwards Lifesciences | 51.48 Bn | 35.49 Bn | 1.35 Bn | 77.46% |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | 70.71% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.71% |
| Mar 31, 2026 | 69.59% |
| Dec 31, 2025 | 69.78% |
| Sep 30, 2025 | 65.83% |
| Jun 30, 2025 | 67.55% |
| Mar 31, 2025 | 63.48% |
| Dec 31, 2024 | 66.34% |
| Sep 30, 2024 | 66.59% |
| Jun 30, 2024 | 66.56% |
| Mar 31, 2024 | 67.68% |
| Dec 31, 2023 | 65.97% |
| Sep 30, 2023 | 67.47% |
| Jun 30, 2023 | 68.75% |
| Mar 31, 2023 | 66.29% |
| Dec 31, 2022 | 61.54% |
| Sep 30, 2022 | 61.94% |
| Jun 30, 2022 | 59.48% |
| Mar 31, 2022 | 60.36% |
| Dec 31, 2021 | 62.06% |
| Sep 30, 2021 | 47.32% |
API Access
LogicMark Gross Margin 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=gross-margin&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();