LogicMark (LGMK) EPS (Basic) (2012 - 2026)
LogicMark's EPS (Basic) was -$1.81 in Q2 2026, compared with -$0.12 a year earlier.
Analysis
LogicMark (LGMK) EPS (Basic) (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, LogicMark's EPS (Basic) was -$7.25 through Jun 30, 2026; for FY2025, it came in at -$13.06.
- In earlier years, EPS (Basic) was -$14.65 in FY2024, -$291.52 in FY2023, -$378.81 in FY2022 and -$1,114 in FY2021.
- Quarterly EPS (Basic) has moved between -$505.44 (Q4 2021) and -$0.12 (Q2 2025) over five years.
- Per Business Quant data, LGMK's EPS (Basic) in the three quarters before Q2 2026 was -$1.68 (Q1 2026), -$2.81 (Q4 2025) and -$2.21 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 4.65 |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 0.53 |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 1.75 |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 1.50 |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.15 |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 1.97 |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 0.40 |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 0.52 |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 0.37 |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | -1.81 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.81 |
| Mar 31, 2026 | -1.68 |
| Dec 31, 2025 | -2.81 |
| Sep 30, 2025 | -2.21 |
| Jun 30, 2025 | -0.12 |
| Mar 31, 2025 | -0.12 |
| Dec 31, 2024 | -5.95 |
| Sep 30, 2024 | -0.20 |
| Jun 30, 2024 | -0.96 |
| Mar 31, 2024 | -0.85 |
| Dec 31, 2023 | -7.80 |
| Sep 30, 2023 | -1.18 |
| Jun 30, 2023 | -1.83 |
| Mar 31, 2023 | -1.92 |
| Dec 31, 2022 | -5.24 |
| Sep 30, 2022 | -4.53 |
| Jun 30, 2022 | -2.50 |
| Mar 31, 2022 | -2.89 |
| Dec 31, 2021 | -20.22 |
| Sep 30, 2021 | -2.43 |
API Access
LogicMark EPS (Basic) 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=eps-basic&ticker=LGMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();