LogicMark (LGMK) Selling, General & Administrative (2012 - 2026)
LogicMark (LGMK) reported Selling, General & Administrative of $1.95 million for Q2 2026, down 15.6% from $2.31 million a year earlier but up 12.9% from the prior quarter.
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Analysis
LogicMark (LGMK) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LogicMark's Selling, General & Administrative came in at $6.96 million, down 16.4% year-over-year; for FY2025, it came in at $7.86 million, up 3.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $7.63 million in FY2024 (-10.1%), $8.48 million in FY2023 (-6.2%), $9.04 million in FY2022 (+55.4%) and $5.82 million in FY2021 (+10.2%).
- Five-year quarterly Selling, General & Administrative spans a low of $969,264 in Q3 2021 and a high of $2.58 million in Q3 2022.
- Year over year, Selling, General & Administrative has now declined in each of the last four quarters, with an average decline of 2.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2022 (growth of 165.7%); the low point was Q3 2021 (a decline of 38.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.73 million (Q1 2026), $1.59 million (Q4 2025) and $1.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.26 Bn |
| 10 | LogicMark | 1.02 Mn | -26.68 Mn | 2.37 Mn | 1.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.95 Mn |
| Mar 31, 2026 | 1.73 Mn |
| Dec 31, 2025 | 1.59 Mn |
| Sep 30, 2025 | 1.68 Mn |
| Jun 30, 2025 | 2.31 Mn |
| Mar 31, 2025 | 2.27 Mn |
| Dec 31, 2024 | 2.02 Mn |
| Sep 30, 2024 | 1.73 Mn |
| Jun 30, 2024 | 1.98 Mn |
| Mar 31, 2024 | 1.90 Mn |
| Dec 31, 2023 | 1.72 Mn |
| Sep 30, 2023 | 1.90 Mn |
| Jun 30, 2023 | 2.44 Mn |
| Mar 31, 2023 | 2.41 Mn |
| Dec 31, 2022 | 2.01 Mn |
| Sep 30, 2022 | 2.58 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 2.34 Mn |
| Dec 31, 2021 | 2.39 Mn |
| Sep 30, 2021 | 969,264.00 |
API Access
LogicMark Selling, General & Administrative 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=selling-general-and-administrative&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();