GoDaddy (GDDY) Short-term Investments (2014 - 2023)
GoDaddy (GDDY) reported Short-term Investments of $40 million for Q4 2023.
Analysis
GoDaddy (GDDY) Short-term Investments (2014 - 2023) Analysis & Trends
Dating back to Q4 2014, GoDaddy's Short-term Investments record includes 22 quarters.
- Short-term Investments has a five-year compound annual growth rate of 16.2% (FY2018 to FY2023).
- By year, Short-term Investments came in at $23.6 million in FY2019 (+24.9%).
- The Q4 2023 figure ranks as the highest quarterly Short-term Investments in data going back to Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,901.49 Bn | 3,824.65 Bn | 60.48 Bn |
| 2 | International Business Machines | 236.50 Bn | 187.32 Bn | 9.91 Bn |
| 3 | Cloudflare | 114.15 Bn | 97.68 Bn | 499.52 Mn |
| 4 | Equinix | 93.69 Bn | 82.26 Bn | 1.40 Bn |
| 5 | Nebius | 39.02 Bn | 12.46 Bn | 448.70 Mn |
| 6 | CoreWeave | 30.06 Bn | 17.15 Bn | 1.70 Bn |
| 7 | Verisign | 27.53 Bn | 24.88 Bn | 393.20 Mn |
| 8 | Nutanix | 19.05 Bn | 10.73 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.89 Bn | 10.46 Bn | 828.20 Mn |
| 10 | Akamai Technologies | 13.42 Bn | 6.82 Bn | 613.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 40.00 Mn |
| Dec 31, 2019 | 23.60 Mn |
| Sep 30, 2019 | 23.50 Mn |
| Jun 30, 2019 | 23.60 Mn |
| Mar 31, 2019 | 18.70 Mn |
| Dec 31, 2018 | 18.90 Mn |
| Sep 30, 2018 | 1.00 Mn |
| Jun 30, 2018 | 18.80 Mn |
| Mar 31, 2018 | 18.80 Mn |
| Dec 31, 2017 | 12.30 Mn |
| Sep 30, 2017 | 16.40 Mn |
| Jun 30, 2017 | 12.40 Mn |
| Mar 31, 2017 | 12.40 Mn |
| Dec 31, 2016 | 6.60 Mn |
| Sep 30, 2016 | 9.60 Mn |
| Jun 30, 2016 | 9.60 Mn |
| Mar 31, 2016 | 8.40 Mn |
| Dec 31, 2015 | 4.50 Mn |
| Sep 30, 2015 | 5.40 Mn |
| Jun 30, 2015 | 5.40 Mn |
API Access
GoDaddy Short-term Investments 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=short-term-investments&ticker=GDDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();