LogicMark (LGMK) Return on Capital Employed [ROCE] (2014 - 2026)
LogicMark (LGMK) reported Return on Capital Employed [ROCE] of -40.69% for Q2 2026, down 3.69 percentage points from -36.99% a year earlier and down 1.14 percentage points from the prior quarter.
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Analysis
LogicMark (LGMK) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, LogicMark posted Return on Capital Employed [ROCE] of -51.53%, up 4.91 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -48.53 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -56.44% in FY2024 (+23.08 pp), -79.52% in FY2023 (-52.40 pp), -27.12% in FY2022 (+0.64 pp) and -27.75% in FY2021 (-24.75 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -116.00% in Q2 2024 and a high of -8.88% in Q3 2021.
- Year over year, Return on Capital Employed [ROCE] gained in six of the last eight quarters, with an average year-over-year change of +22.20 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q2 2025 (a gain of 79.01 percentage points); the low point was Q2 2024 (a drop of 81.71 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -39.54% (Q1 2026), -40.72% (Q4 2025) and -41.10% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.76% |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | -40.69% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -40.69% |
| Mar 31, 2026 | -39.54% |
| Dec 31, 2025 | -40.72% |
| Sep 30, 2025 | -41.10% |
| Jun 30, 2025 | -36.99% |
| Mar 31, 2025 | -46.92% |
| Dec 31, 2024 | -58.54% |
| Sep 30, 2024 | -115.86% |
| Jun 30, 2024 | -116.00% |
| Mar 31, 2024 | -107.76% |
| Dec 31, 2023 | -80.54% |
| Sep 30, 2023 | -35.37% |
| Jun 30, 2023 | -34.29% |
| Mar 31, 2023 | -29.71% |
| Dec 31, 2022 | -28.56% |
| Sep 30, 2022 | -41.28% |
| Jun 30, 2022 | -70.10% |
| Mar 31, 2022 | -60.12% |
| Dec 31, 2021 | -22.93% |
| Sep 30, 2021 | -8.88% |
API Access
LogicMark Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();