LogicMark (LGMK) Return on Equity [ROE] (2014 - 2026)
LogicMark's Return on Equity [ROE] was -44.32% in Q2 2026, up 2.24 percentage points from -46.57% a year earlier but down 1.18 percentage points from the prior quarter.
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Analysis
LogicMark (LGMK) Return on Equity [ROE] (2014 - 2026) Analysis & Trends
For FY2025, Return on Equity [ROE] at LogicMark came in at -56.00%, up 20.66 percentage points from FY2024.
- Return on Equity [ROE] shows a five-year change of -19.90 percentage points (FY2020 to FY2025).
- In earlier years, Return on Equity [ROE] was -76.66% in FY2024 (+8.72 pp), -85.38% in FY2023 (-56.26 pp), -29.12% in FY2022 (+36.39 pp) and -65.50% in FY2021 (-29.40 pp).
- Quarterly Return on Equity [ROE] has moved between -134.43% (Q2 2024) and -28.03% (Q3 2021) over five years.
- Compared with a year earlier, Return on Equity [ROE] has increased for seven straight quarters, with an average year-over-year change of +24.32 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Equity [ROE] over five years was Q2 2025 (a gain of 87.86 percentage points); the worst was Q2 2024 (a drop of 97.57 percentage points).
- Per Business Quant data, LGMK's Return on Equity [ROE] in the three quarters before Q2 2026 was -43.14% (Q1 2026), -43.69% (Q4 2025) and -51.36% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 13.36% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 10.39% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 7.56% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 17.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 10.44% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | -3.90% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 14.31% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 9.53% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 3.88% |
| 10 | LogicMark | 1.02 Mn | -26.68 Mn | 2.37 Mn | -44.32% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -44.32% |
| Mar 31, 2026 | -43.14% |
| Dec 31, 2025 | -43.69% |
| Sep 30, 2025 | -51.36% |
| Jun 30, 2025 | -46.57% |
| Mar 31, 2025 | -59.76% |
| Dec 31, 2024 | -79.10% |
| Sep 30, 2024 | -130.98% |
| Jun 30, 2024 | -134.43% |
| Mar 31, 2024 | -119.24% |
| Dec 31, 2023 | -87.07% |
| Sep 30, 2023 | -36.35% |
| Jun 30, 2023 | -36.86% |
| Mar 31, 2023 | -32.66% |
| Dec 31, 2022 | -30.84% |
| Sep 30, 2022 | -44.24% |
| Jun 30, 2022 | -36.05% |
| Mar 31, 2022 | -32.67% |
| Dec 31, 2021 | -38.99% |
| Sep 30, 2021 | -28.03% |
API Access
LogicMark Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();