LogicMark (LGMK) Deferred Taxes (2017 - 2021)
LogicMark (LGMK) recorded Deferred Taxes of -$320,102 in FY2023, compared with $124,468 in FY2022.
Analysis
LogicMark (LGMK) Deferred Taxes (2017 - 2021) Analysis & Trends
Starting with FY2016, LogicMark's Deferred Taxes history includes 7 years.
- The FY2023 figure is the lowest annual Deferred Taxes in data going back to FY2016.
- Per Business Quant data, LGMK's Deferred Taxes was $124,468 in FY2022 (-36.4%), $195,576 in FY2021 and $365,397 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Deferred Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.09 Bn | 228.12 Bn | 4.88 Bn | -208.00 Mn |
| 2 | Abbott Laboratories | 180.55 Bn | 150.98 Bn | 7.27 Bn | - |
| 3 | Danaher | 160.58 Bn | 144.39 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 157.75 Bn | 138.04 Bn | 2.08 Bn | -54.40 Mn |
| 5 | Medtronic | 122.52 Bn | 87.77 Bn | 6.34 Bn | 127.00 Mn |
| 6 | Stryker | 118.16 Bn | 104.28 Bn | 4.50 Bn | 107.00 Mn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 17.00 Mn |
| 8 | Becton Dickinson | 54.80 Bn | 51.94 Bn | 2.32 Bn | -74.00 Mn |
| 9 | Edwards Lifesciences | 51.55 Bn | 35.55 Bn | 1.35 Bn | 181.30 Mn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -517,543.00 |
| Sep 30, 2021 | 118,205.00 |
| Jun 30, 2021 | 192,460.00 |
| Mar 31, 2021 | 402,454.00 |
| Dec 31, 2018 | 281,544.00 |
| Sep 30, 2018 | -83,850.00 |
| Jun 30, 2018 | -83,849.00 |
| Mar 31, 2018 | -83,849.00 |
| Dec 31, 2017 | -134,448.00 |
| Sep 30, 2017 | 93,188.00 |
| Jun 30, 2017 | 93,188.00 |
| Mar 31, 2017 | 93,187.00 |
API Access
LogicMark Deferred Taxes 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=deferred-taxes&ticker=LGMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "deferred-taxes", "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=deferred-taxes&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();