Apyx Medical (APYX) Non-Current Deferred Tax Liability (2015 - 2018)
Apyx Medical's Non-Current Deferred Tax Liability came in at $368,000 for Q2 2018, down 34.8% from $564,000 a year earlier and unchanged from the prior quarter.
Apyx Medical (APYX) Non-Current Deferred Tax Liability (2015 - 2018) Analysis & Trends
Going back to Q4 2015, Apyx Medical's Non-Current Deferred Tax Liability data covers 8 quarters.
- Going back by year, Non-Current Deferred Tax Liability was $564,000 in FY2016 (unchanged) and $564,000 in FY2015.
- The five-year range for quarterly Non-Current Deferred Tax Liability is $368,000 (Q4 2017) to $564,000 (Q3 2017).
- Year-over-year, Non-Current Deferred Tax Liability has declined for three consecutive quarters, with an average decline of 26.1% over the last four quarters.
- Business Quant data shows APYX's Non-Current Deferred Tax Liability at $368,000 (Q1 2018), $368,000 (Q4 2017) and $564,000 (Q3 2017) in the three quarters before Q2 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Apyx Medical | 109.63 Mn | -6.00 Mn | 8.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 368,000.00 |
| Mar 31, 2018 | 368,000.00 |
| Dec 31, 2017 | 368,000.00 |
| Sep 30, 2017 | 564,000.00 |
| Jun 30, 2017 | 564,000.00 |
| Mar 31, 2017 | 564,000.00 |
| Dec 31, 2016 | 564,000.00 |
| Dec 31, 2015 | 564,000.00 |
Apyx Medical Non-Current Deferred Tax Liability 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=non-current-deferred-tax-liability&ticker=APYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deferred-tax-liability", "ticker": "APYX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-deferred-tax-liability&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();