LogicMark (LGMK) Net Margin (2012 - 2026)
LogicMark (LGMK) posted Net Margin of -48.57% for Q2 2026, up 26.00 percentage points from -74.57% a year earlier but down 1.09 percentage points from the prior quarter.
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Analysis
LogicMark (LGMK) Net Margin (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Margin at LogicMark was -52.03%, up 41.85 percentage points year-over-year; for FY2025, it was -67.98%, up 25.97 percentage points from FY2024.
- Annual Net Margin shows a five-year change of -35.44 percentage points (FY2020 to FY2025).
- In prior years, LogicMark's Net Margin was -93.96% in FY2024 (+64.97 pp), -158.93% in FY2023 (-98.06 pp), -60.87% in FY2022 (+79.31 pp) and -140.18% in FY2021 (-107.64 pp).
- Quarterly Net Margin has run from a low of -412.66% in Q4 2023 to a high of -30.38% in Q3 2021 over five years.
- On a year-over-year basis, Net Margin has increased in each of the last five quarters, with an average year-over-year change of +53.50 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Net Margin in the past five years was Q4 2024, with a gain of 244.76 percentage points; the weakest was Q4 2023, with a drop of 295.89 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was -47.49% (Q1 2026), -54.59% (Q4 2025) and -58.33% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 246.52 Bn | 225.55 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 177.07 Bn | 147.50 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 159.15 Bn | 142.96 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 156.99 Bn | 137.28 Bn | 2.08 Bn | 17.15% |
| 5 | Medtronic | 122.58 Bn | 87.83 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 117.53 Bn | 103.64 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 66.64 Bn | 61.41 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 54.26 Bn | 51.41 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 51.50 Bn | 35.50 Bn | 1.35 Bn | 13.89% |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | -48.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -48.57% |
| Mar 31, 2026 | -47.49% |
| Dec 31, 2025 | -54.59% |
| Sep 30, 2025 | -58.33% |
| Jun 30, 2025 | -74.57% |
| Mar 31, 2025 | -87.43% |
| Dec 31, 2024 | -167.91% |
| Sep 30, 2024 | -58.91% |
| Jun 30, 2024 | -90.48% |
| Mar 31, 2024 | -69.69% |
| Dec 31, 2023 | -412.66% |
| Sep 30, 2023 | -64.19% |
| Jun 30, 2023 | -100.68% |
| Mar 31, 2023 | -67.92% |
| Dec 31, 2022 | -116.77% |
| Sep 30, 2022 | -79.06% |
| Jun 30, 2022 | -35.65% |
| Mar 31, 2022 | -37.56% |
| Dec 31, 2021 | -263.73% |
| Sep 30, 2021 | -30.38% |
API Access
LogicMark Net 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=net-margin&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();