GoDaddy (GDDY) Gains from Sales and Divestitures (2017)
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Analysis
GoDaddy (GDDY) Gains from Sales and Divestitures (2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn |
API Access
GoDaddy Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();