LogicMark (LGMK) Return on Assets [ROA] (2013 - 2026)
LogicMark's Return on Assets [ROA] came in at -34.96% for Q2 2026, up 3.89 percentage points from -38.85% a year earlier but down 0.37 percentage points from the prior quarter.
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Analysis
LogicMark (LGMK) Return on Assets [ROA] (2013 - 2026) Analysis & Trends
For FY2025, LogicMark's Return on Assets [ROA] was -43.25%, up 14.39 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of -32.23 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -57.65% in FY2024 (+10.57 pp), -68.22% in FY2023 (-43.38 pp), -24.84% in FY2022 (+16.19 pp) and -41.03% in FY2021 (-30.01 pp).
- The five-year range for quarterly Return on Assets [ROA] is -99.90% (Q2 2024) to -21.82% (Q3 2021).
- Year-over-year, Return on Assets [ROA] has increased for seven consecutive quarters, with an average year-over-year change of +18.16 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q2 2025 (a gain of 61.05 percentage points), and the weakest in Q3 2024 (a drop of 68.49 percentage points).
- Business Quant data shows LGMK's Return on Assets [ROA] at -34.59% (Q1 2026), -34.92% (Q4 2025) and -41.73% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 6.17% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.94% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.54% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 15.41% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 5.66% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | -1.94% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 8.19% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 7.38% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.85% |
| 10 | LogicMark | 1.02 Mn | -26.68 Mn | 2.37 Mn | -34.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -34.96% |
| Mar 31, 2026 | -34.59% |
| Dec 31, 2025 | -34.92% |
| Sep 30, 2025 | -41.73% |
| Jun 30, 2025 | -38.85% |
| Mar 31, 2025 | -47.87% |
| Dec 31, 2024 | -59.44% |
| Sep 30, 2024 | -99.38% |
| Jun 30, 2024 | -99.90% |
| Mar 31, 2024 | -90.19% |
| Dec 31, 2023 | -70.48% |
| Sep 30, 2023 | -30.89% |
| Jun 30, 2023 | -31.99% |
| Mar 31, 2023 | -27.64% |
| Dec 31, 2022 | -25.52% |
| Sep 30, 2022 | -37.67% |
| Jun 30, 2022 | -63.19% |
| Mar 31, 2022 | -56.30% |
| Dec 31, 2021 | -33.58% |
| Sep 30, 2021 | -21.82% |
API Access
LogicMark Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();