GoDaddy (GDDY) Dividends Paid - Common and Prefferd (2014 - 2017)
GoDaddy (GDDY) reported Dividends Paid - Common and Prefferd of $3 million for Q2 2017, down 47.4% from $5.7 million a year earlier and down 57.1% from the prior quarter.
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Analysis
GoDaddy (GDDY) Dividends Paid - Common and Prefferd (2014 - 2017) Analysis & Trends
For FY2016, GoDaddy posted Dividends Paid - Common and Prefferd of $18.8 million.
- By year, Dividends Paid - Common and Prefferd came in at $800,000 in FY2015 (-99.8%) and $349 million in FY2014.
- The Q2 2017 figure ranks as the lowest quarterly Dividends Paid - Common and Prefferd since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,895.54 Bn | 3,818.69 Bn | 60.48 Bn |
| 2 | International Business Machines | 238.91 Bn | 189.81 Bn | 9.91 Bn |
| 3 | Cloudflare | 105.03 Bn | 88.56 Bn | 499.52 Mn |
| 4 | Equinix | 94.23 Bn | 82.79 Bn | 1.40 Bn |
| 5 | Nebius | 40.16 Bn | 13.60 Bn | 448.70 Mn |
| 6 | CoreWeave | 29.89 Bn | 16.98 Bn | 1.70 Bn |
| 7 | Verisign | 26.97 Bn | 24.32 Bn | 393.20 Mn |
| 8 | Nutanix | 19.10 Bn | 10.78 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.18 Bn | 9.76 Bn | 828.20 Mn |
| 10 | Akamai Technologies | 13.43 Bn | 6.84 Bn | 613.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 3.00 Mn |
| Mar 31, 2017 | 7.00 Mn |
| Dec 31, 2016 | 8.00 Mn |
| Jun 30, 2016 | 5.70 Mn |
| Mar 31, 2016 | 5.10 Mn |
| Dec 31, 2015 | 800,000.00 |
| Sep 30, 2014 | 500,000.00 |
API Access
GoDaddy Dividends Paid - Common and Prefferd 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=dividends-paid-common-and-prefferd&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "ticker": "GDDY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividends-paid-common-and-prefferd&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();