8X8 (EGHT) Change in Taxes (2010 - 2016)
8X8 recorded quarterly Change in Taxes of -$311000.0 in Q4 2016, down 722.0% quarter-over-quarter from $50000.0 in Q3 2016, and down 132.88% year-over-year from $946000.0 in Q1 2016.
8X8's Change in Taxes history runs 7 years deep, the most recent figure standing at -$311000.0 for Q4 2016.
- In Q4 2016, Change in Taxes fell 132.88% year-over-year to -$311000.0; the TTM figure through Dec 2016 stood at $434000.0 (down 75.42% YoY), while the FY2016 annual figure was $2.3 million, up 367.76% from the prior year.
- Change in Taxes came in at -$311000.0 for Q4 2016 at 8X8, down from $50000.0 in the prior quarter.
- In the past five years, Change in Taxes ranged from a high of $946000.0 in Q4 2015 to a low of -$311000.0 in Q4 2016.
- A 5-year average of $127850.0 and a median of $88000.0 in 2013 frame the typical range for Change in Taxes.
- Across the five-year window, Change in Taxes slumped 207.81% in 2012 and surged 740.85% in 2016, its largest moves.
- 8X8's Change in Taxes stood at -$290000.0 in 2012, then jumped by 178.62% to $228000.0 in 2013, then soared by 36.84% to $312000.0 in 2014, then surged by 203.21% to $946000.0 in 2015, then slumped by 132.88% to -$311000.0 in 2016.
- According to Business Quant data, Change in Taxes over the past three periods registered -$311000.0, $50000.0, and $240000.0 for Q4 2016, Q3 2016, and Q2 2016 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Sap Se | 253.17 Bn | 235.20 Bn | 8.16 Bn | 936.60 Mn |
| 2 | Salesforce | 171.07 Bn | 161.50 Bn | 8.69 Bn | - |
| 3 | Uber Technologies | 151.10 Bn | 150.06 Bn | 11.88 Bn | - |
| 4 | Shopify | 134.25 Bn | 128.50 Bn | 1.55 Bn | - |
| 5 | ServiceNow | 105.72 Bn | 100.54 Bn | 2.83 Bn | - |
| 6 | Cadence Design Systems | 101.64 Bn | 100.23 Bn | 1.26 Bn | - |
| 7 | Adobe | 100.35 Bn | 93.46 Bn | 5.73 Bn | 371.00 Mn |
| 8 | Automatic Data Processing | 90.91 Bn | 87.68 Bn | 2.87 Bn | - |
| 9 | Intuit | 88.30 Bn | 81.52 Bn | 6.77 Bn | -77.00 Mn |
| 10 | 8X8 | 301.09 Mn | 212.89 Mn | 118.22 Mn | - |
Historic Data
Download Data| Date | Value |
|---|---|
| Dec 31, 2016 | -311,000.00 |
| Dec 31, 2016 | -311,000.00 |
| Sep 30, 2016 | 50,000.00 |
| Sep 30, 2016 | 50,000.00 |
| Jun 30, 2016 | 240,000.00 |
| Jun 30, 2016 | 240,000.00 |
| Mar 31, 2016 | 455,000.00 |
| Mar 31, 2016 | 455,000.00 |
| Dec 31, 2015 | 946,000.00 |
| Dec 31, 2015 | 946,000.00 |
| Sep 30, 2015 | 399,000.00 |
| Sep 30, 2015 | 399,000.00 |
| Jun 30, 2015 | 492,000.00 |
| Jun 30, 2015 | 492,000.00 |
| Mar 31, 2015 | -71,000.00 |
| Mar 31, 2015 | -71,000.00 |
| Dec 31, 2014 | 312,000.00 |
| Dec 31, 2014 | 312,000.00 |
| Sep 30, 2014 | 121,000.00 |
| Sep 30, 2014 | 121,000.00 |
| Jun 30, 2014 | 128,000.00 |
| Jun 30, 2014 | 128,000.00 |
| Mar 31, 2014 | 214,000.00 |
| Mar 31, 2014 | 214,000.00 |
| Dec 31, 2013 | 228,000.00 |
| Dec 31, 2013 | 228,000.00 |
| Sep 30, 2013 | 26,000.00 |
| Sep 30, 2013 | 26,000.00 |
| Jun 30, 2013 | -192,000.00 |
| Jun 30, 2013 | -192,000.00 |
| Mar 31, 2013 | 55,000.00 |
| Mar 31, 2013 | 55,000.00 |
| Dec 31, 2012 | -290,000.00 |
| Dec 31, 2012 | -290,000.00 |
| Sep 30, 2012 | -93,000.00 |
| Sep 30, 2012 | -93,000.00 |
| Jun 30, 2012 | -112,000.00 |
| Jun 30, 2012 | -112,000.00 |
| Mar 31, 2012 | -40,000.00 |
| Mar 31, 2012 | -40,000.00 |
| Dec 31, 2011 | 269,000.00 |
| Dec 31, 2011 | 269,000.00 |
| Sep 30, 2011 | 250,000.00 |
| Sep 30, 2011 | 250,000.00 |
| Jun 30, 2011 | -123,000.00 |
| Jun 30, 2011 | -123,000.00 |
| Mar 31, 2011 | 277,000.00 |
| Mar 31, 2011 | 277,000.00 |
| Dec 31, 2010 | -33,000.00 |
| Dec 31, 2010 | -33,000.00 |
| Sep 30, 2010 | -513,000.00 |
| Sep 30, 2010 | -513,000.00 |
| Jun 30, 2010 | 245,000.00 |
| Jun 30, 2010 | 245,000.00 |