LogicMark (LGMK) Depreciation and Depletion (2012 - 2026)
LogicMark's Depreciation and Depletion was $14,303 in Q2 2026, down 51.2% from $29,326 a year earlier and down 48.0% from the prior quarter.
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Analysis
LogicMark (LGMK) Depreciation and Depletion (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, LogicMark's Depreciation and Depletion was $71,021 through Jun 30, 2026, down 38.9% year-over-year; for FY2025, it came in at $87,609, down 23.6% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $114,643 in FY2024 (+8.5%), $105,674 in FY2023 (+293.0%), $26,888 in FY2022 (-7.9%) and $29,208 in FY2021 (-55.6%).
- Quarterly Depreciation and Depletion has moved between $257.00 (Q1 2022) and $29,326 (Q2 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion has declined for four straight quarters, with an average decline of 17.4% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q3 2022 (growth of 809.1%); the worst was Q1 2022 (a decline of 98.4%).
- Per Business Quant data, LGMK's Depreciation and Depletion in the three quarters before Q2 2026 was $27,487 (Q1 2026), $11,433 (Q4 2025) and $17,798 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | LogicMark | 1.02 Mn | -26.68 Mn | 2.37 Mn | 14,303.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14,303.00 |
| Mar 31, 2026 | 27,487.00 |
| Dec 31, 2025 | 11,433.00 |
| Sep 30, 2025 | 17,798.00 |
| Jun 30, 2025 | 29,326.00 |
| Mar 31, 2025 | 29,052.00 |
| Dec 31, 2024 | 29,053.00 |
| Sep 30, 2024 | 28,731.00 |
| Jun 30, 2024 | 28,616.00 |
| Mar 31, 2024 | 28,243.00 |
| Dec 31, 2023 | 27,553.00 |
| Sep 30, 2023 | 27,318.00 |
| Jun 30, 2023 | 25,254.00 |
| Mar 31, 2023 | 25,549.00 |
| Dec 31, 2022 | 9,717.00 |
| Sep 30, 2022 | 16,401.00 |
| Jun 30, 2022 | 513.00 |
| Mar 31, 2022 | 257.00 |
| Sep 30, 2021 | 1,804.00 |
| Jun 30, 2021 | 11,392.00 |
API Access
LogicMark Depreciation and Depletion 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=depreciation-and-depletion&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();