LogicMark (LGMK) Return on Sales [ROS] (2012 - 2026)
LogicMark (LGMK) posted Return on Sales [ROS] of -47.60% for Q2 2026, up 27.13 percentage points from -74.74% a year earlier but down 0.77 percentage points from the prior quarter.
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Analysis
LogicMark (LGMK) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at LogicMark was -51.87%, up 27.86 percentage points year-over-year; for FY2025, it was -69.14%, up 8.32 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -64.02 percentage points (FY2020 to FY2025).
- In prior years, LogicMark's Return on Sales [ROS] was -77.47% in FY2024 (+76.90 pp), -154.37% in FY2023 (-96.41 pp), -57.96% in FY2022 (+17.35 pp) and -75.31% in FY2021 (-70.19 pp).
- Quarterly Return on Sales [ROS] has run from a low of -386.97% in Q4 2023 to a high of -20.85% in Q3 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +51.43 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 289.39 percentage points; the weakest was Q4 2023, with a drop of 277.03 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -46.83% (Q1 2026), -54.48% (Q4 2025) and -59.56% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | LogicMark | 1.02 Mn | -26.68 Mn | 2.37 Mn | -47.60% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -47.60% |
| Mar 31, 2026 | -46.83% |
| Dec 31, 2025 | -54.48% |
| Sep 30, 2025 | -59.56% |
| Jun 30, 2025 | -74.74% |
| Mar 31, 2025 | -91.21% |
| Dec 31, 2024 | -97.57% |
| Sep 30, 2024 | -59.12% |
| Jun 30, 2024 | -88.64% |
| Mar 31, 2024 | -69.16% |
| Dec 31, 2023 | -386.97% |
| Sep 30, 2023 | -75.18% |
| Jun 30, 2023 | -97.83% |
| Mar 31, 2023 | -67.12% |
| Dec 31, 2022 | -109.94% |
| Sep 30, 2022 | -77.70% |
| Jun 30, 2022 | -33.42% |
| Mar 31, 2022 | -35.15% |
| Dec 31, 2021 | -250.47% |
| Sep 30, 2021 | -20.85% |
API Access
LogicMark Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();