LogicMark (LGMK) Depreciation & Amortization (CF) (2012 - 2026)
LogicMark's Depreciation & Amortization (CF) 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 & Amortization (CF) (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, LogicMark's Depreciation & Amortization (CF) 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 & Amortization (CF) shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) 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 & Amortization (CF) has moved between $257.00 (Q1 2022) and $200,000 (Q2 2024) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has declined for five straight quarters, with an average decline of 28.4% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) 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 & Amortization (CF) 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. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 564.00 Mn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | 42.70 Mn |
| 10 | LogicMark | 1.17 Mn | -26.52 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 | 200,000.00 |
| Mar 31, 2024 | 28,243.00 |
| Dec 31, 2023 | 27,553.00 |
| Sep 30, 2023 | 27,318.00 |
| Jun 30, 2023 | 200,000.00 |
| 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 & Amortization (CF) 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-amortization-cf&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();