8X8 (EGHT) Price to Earnings (2011 - 2015)
8X8's Price to Earnings came in at 548.99 for fiscal Q1 2016 (quarter ended Jun 30, 2015), down 70.7% from 1871.86 a year earlier but up 42.9% from the prior quarter.
8X8 (EGHT) Price to Earnings (2011 - 2015) Analysis & Trends
For FY2015 (ended Mar 31, 2015), 8X8's Price to Earnings was 384.09, up 0.9% from FY2014.
- Price to Earnings has increased in each of the last three fiscal years.
- Going back by fiscal year, Price to Earnings was 380.65 in FY2014 (+974.2%), 35.44 in FY2013 (+726.4%), 4.29 in FY2012 (-84.3%) and 27.30 in FY2011 (+16.2%).
- The five-year range for quarterly Price to Earnings is 3.93 (fiscal Q1 2013) to 1871.86 (fiscal Q1 2015).
- The fastest year-over-year change in Price to Earnings over five years came in fiscal Q4 2014 (growth of 974.2%), and the weakest in fiscal Q1 2013 (a decline of 90.5%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn |
| 10 | 8X8 | 317.59 Mn | -19.73 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 548.99 |
| Mar 31, 2015 | 384.09 |
| Jun 30, 2014 | 1,871.86 |
| Mar 31, 2014 | 380.65 |
| Dec 31, 2013 | 145.74 |
| Sep 30, 2013 | 92.66 |
| Jun 30, 2013 | 80.36 |
| Mar 31, 2013 | 35.44 |
| Dec 31, 2012 | 6.96 |
| Sep 30, 2012 | 6.10 |
| Jun 30, 2012 | 3.93 |
| Mar 31, 2012 | 4.29 |
| Dec 31, 2011 | 29.88 |
| Sep 30, 2011 | 44.81 |
| Jun 30, 2011 | 41.21 |
| Mar 31, 2011 | 27.30 |
8X8 Price to Earnings 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=price-to-earnings&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "EGHT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();