GoDaddy (GDDY) Long-Term Debt Issuances (2017 - 2024)
GoDaddy (GDDY) recorded Long-Term Debt Issuances of $1.46 billion in Q4 2024.
Analysis
GoDaddy (GDDY) Long-Term Debt Issuances (2017 - 2024) Analysis & Trends
For FY2024, GoDaddy reported Long-Term Debt Issuances of $4.21 billion, up 139.5% from FY2023.
- Annual Long-Term Debt Issuances has increased for five straight years, with a five-year compound annual growth rate of 47.7% (FY2019 to FY2024).
- Across earlier years, Long-Term Debt Issuances came in at $1.76 billion in FY2023 (+2.0%), $1.73 billion in FY2022 (+115.7%), $800 million in FY2021 (+7.2%) and $746.3 million in FY2020 (+24.4%).
- The Q4 2024 figure is the highest quarterly Long-Term Debt Issuances since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 215.03 Bn | 165.84 Bn | 9.91 Bn | - |
| 3 | Cloudflare | 114.69 Bn | 98.22 Bn | 499.52 Mn | - |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn | 927.00 Mn |
| 5 | Nebius | 44.92 Bn | 18.35 Bn | 448.70 Mn | - |
| 6 | CoreWeave | 36.20 Bn | 23.29 Bn | 1.70 Bn | 13.46 Bn |
| 7 | Verisign | 27.35 Bn | 24.56 Bn | 384.60 Mn | 546.40 Mn |
| 8 | Nutanix | 18.78 Bn | 10.46 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.53 Bn | 9.11 Bn | 828.20 Mn | - |
| 10 | Akamai Technologies | 13.23 Bn | 6.64 Bn | 613.75 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.46 Bn |
| Sep 30, 2023 | 1.76 Bn |
| Dec 31, 2022 | 1.73 Bn |
| Mar 31, 2021 | 800.00 Mn |
| Sep 30, 2020 | 746.30 Mn |
| Dec 31, 2017 | -1.95 Bn |
API Access
GoDaddy Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=GDDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();