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) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 6.76 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 1.59 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | - |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 510.00 Mn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | - |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | - |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 73.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | - |
| 10 | GoDaddy | 12.33 Bn | 7.91 Bn | 828.20 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();