LogicMark (LGMK) EBITDA Margin (2012 - 2026)
LogicMark (LGMK) posted EBITDA Margin of -41.78% for Q2 2026, up 25.59 percentage points from -67.37% a year earlier but down 2.02 percentage points from the prior quarter.
LogicMark (LGMK) EBITDA Margin (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at LogicMark was -45.23%, up 26.05 percentage points year-over-year; for FY2025, it came in at -61.71%, up 6.91 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -63.82 percentage points (FY2020 to FY2025).
- In prior years, LogicMark's EBITDA Margin was -68.62% in FY2024 (+77.02 pp), -145.63% in FY2023 (-94.42 pp), -51.21% in FY2022 (+9.09 pp) and -60.30% in FY2021 (-62.41 pp).
- Quarterly EBITDA Margin has run from a low of -377.98% in Q4 2023 to a high of -12.72% in Q3 2021 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last three quarters, with an average year-over-year change of +49.35 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2024, with a gain of 290.17 percentage points; the weakest was Q4 2023, with a drop of 277.55 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -39.76% (Q1 2026), -47.89% (Q4 2025) and -52.42% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 25.90% |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 31.93% |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | -41.78% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -41.78% |
| Mar 31, 2026 | -39.76% |
| Dec 31, 2025 | -47.89% |
| Sep 30, 2025 | -52.42% |
| Jun 30, 2025 | -67.37% |
| Mar 31, 2025 | -82.38% |
| Dec 31, 2024 | -87.81% |
| Sep 30, 2024 | -51.02% |
| Jun 30, 2024 | -71.93% |
| Mar 31, 2024 | -60.78% |
| Dec 31, 2023 | -377.98% |
| Sep 30, 2023 | -65.98% |
| Jun 30, 2023 | -81.05% |
| Mar 31, 2023 | -59.43% |
| Dec 31, 2022 | -100.43% |
| Sep 30, 2022 | -70.05% |
| Jun 30, 2022 | -27.64% |
| Mar 31, 2022 | -29.82% |
| Dec 31, 2021 | -218.74% |
| Sep 30, 2021 | -11.60% |
LogicMark EBITDA 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=ebitda-margin&ticker=LGMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();