GoDaddy (GDDY) Change in Intangibles (2015 - 2022)
GoDaddy's Change in Intangibles came in at $35.4 million for FY2023, compared with $400,000 in FY2022.
Powered by 
Analysis
GoDaddy (GDDY) Change in Intangibles (2015 - 2022) Analysis & Trends
Going back to FY2015, GoDaddy's Change in Intangibles data covers 9 years.
- Change in Intangibles carries a five-year compound annual growth rate of 30.6% (FY2018 to FY2023).
- The five-year range for annual Change in Intangibles is $400,000 (FY2022) to $202.1 million (FY2021).
- Per Business Quant, earlier years put Change in Intangibles at $400,000 in FY2022 (-99.8%), $202.1 million in FY2021, $15 million in FY2020 (+219.1%) and $4.7 million in FY2019 (-49.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | - |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 11.22 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | - |
| 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 | - |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 80.83 Mn |
| 10 | GoDaddy | 12.33 Bn | 7.91 Bn | 828.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 400,000.00 |
| Dec 31, 2021 | 300,000.00 |
| Sep 30, 2021 | 192.00 Mn |
| Dec 31, 2020 | 15.00 Mn |
| Dec 31, 2018 | 3.50 Mn |
| Dec 31, 2017 | 52.00 Mn |
| Dec 31, 2016 | 1.30 Mn |
| Dec 31, 2015 | 1.00 Mn |
API Access
GoDaddy Change in Intangibles 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=change-in-intangibles&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-intangibles", "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=change-in-intangibles&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();