Apyx Medical (APYX) Deferred Taxes (2011 - 2017)
Apyx Medical (APYX) posted Deferred Taxes of $736,000 for Q4 2018, up 275.5% from $196,000 a year earlier.
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Analysis
Apyx Medical (APYX) Deferred Taxes (2011 - 2017) Analysis & Trends
For FY2018, Apyx Medical's Deferred Taxes came in at $368,000, up 87.8% from FY2017.
- In prior years, Apyx Medical's Deferred Taxes was $196,000 in FY2017, -$25,000 in FY2016, -$25,000 in FY2015 and $3.98 million in FY2014.
- The Q4 2018 figure stands as the highest quarterly Deferred Taxes since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Deferred Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | -208.00 Mn |
| 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 | 31.00 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 127.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 107.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | -74.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 181.30 Mn |
| 10 | Apyx Medical | 109.63 Mn | -6.00 Mn | 8.87 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -196,000.00 |
| Mar 31, 2016 | -14,000.00 |
| Dec 31, 2014 | 5.88 Mn |
| Sep 30, 2014 | -1.35 Mn |
| Jun 30, 2014 | -584,000.00 |
| Mar 31, 2014 | 34,000.00 |
| Dec 31, 2013 | -538,000.00 |
| Mar 31, 2013 | -349,000.00 |
| Dec 31, 2012 | -88,000.00 |
| Sep 30, 2012 | 95,000.00 |
| Jun 30, 2012 | 73,000.00 |
| Mar 31, 2012 | 130,000.00 |
| Dec 31, 2011 | -515,000.00 |
| Sep 30, 2011 | 76,000.00 |
| Jun 30, 2011 | 181,000.00 |
| Mar 31, 2011 | 182,000.00 |
API Access
Apyx Medical 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=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "deferred-taxes", "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=deferred-taxes&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();