LogicMark (LGMK) Tax Provisions (2016 - 2018)
LogicMark (LGMK) posted Tax Provisions of $14,853 for FY2025, up 49.3% from $9,946 in FY2024.
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Analysis
LogicMark (LGMK) Tax Provisions (2016 - 2018) Analysis & Trends
Since FY2014, LogicMark has reported Tax Provisions for 12 years.
- Annual Tax Provisions shows a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Tax Provisions since FY2022.
- Business Quant data shows LGMK's Tax Provisions at $9,946 in FY2024, -$309,849 in FY2023, $137,956 in FY2022 (-32.5%) and $204,269 in FY2021 (+720.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 352.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 311.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | -75.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 144.00 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 244.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 153.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 61.80 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 68.00 Mn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 285,871.00 |
| Sep 30, 2018 | -83,850.00 |
| Jun 30, 2018 | -83,849.00 |
| Mar 31, 2018 | -83,849.00 |
| Dec 31, 2017 | -119,159.00 |
| Sep 30, 2017 | 93,188.00 |
| Jun 30, 2017 | 93,188.00 |
| Mar 31, 2017 | 93,187.00 |
| Dec 31, 2016 | 191,035.00 |
| Sep 30, 2016 | 5,000.00 |
API Access
LogicMark Tax Provisions 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=tax-provisions&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();