ZW Data Action Technologies (CNET) EV to EBITDA (2011 - 2014)
ZW Data Action Technologies' EV to EBITDA was 21.54 in Q1 2014, up 946.8% from 2.06 a year earlier and up 308.1% from the prior quarter.
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Analysis
ZW Data Action Technologies (CNET) EV to EBITDA (2011 - 2014) Analysis & Trends
On a trailing twelve-month basis, ZW Data Action Technologies' EV to EBITDA was 7.40 through Mar 31, 2014; for FY2013, it came in at 5.28, up 218.2% from FY2012.
- In earlier years, EV to EBITDA was 1.66 in FY2012 (-64.5%), 4.68 in FY2011 (+15.8%) and 4.04 in FY2010.
- The Q1 2014 figure marks the highest quarterly EV to EBITDA in data going back to Q2 2011.
- Compared with a year earlier, EV to EBITDA was higher in two of the last four quarters, with growth averaging 254.0%.
- Per Business Quant data, CNET's EV to EBITDA in the three quarters before Q1 2014 was 5.28 (Q4 2013), 0.85 (Q3 2013) and 1.15 (Q2 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | ZW Data Action Technologies | 7.48 Mn | 3.48 Mn | 47,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | 21.54 |
| Dec 31, 2013 | 5.28 |
| Sep 30, 2013 | 0.85 |
| Jun 30, 2013 | 1.15 |
| Mar 31, 2013 | 2.06 |
| Dec 31, 2012 | 1.66 |
| Mar 31, 2012 | 13.04 |
| Dec 31, 2011 | 4.70 |
| Sep 30, 2011 | 0.15 |
| Jun 30, 2011 | 0.60 |
API Access
ZW Data Action Technologies EV to EBITDA 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=ev-to-ebitda&ticker=CNET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "CNET", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=CNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();