GoDaddy (GDDY) Interest Expenses (2014 - 2026)
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Analysis
GoDaddy (GDDY) Interest Expenses (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 870.00 Mn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 605.00 Mn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | 3.55 Mn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 163.00 Mn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | - |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | -112.50 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 21.20 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 37.70 Mn |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn | 10.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.70 Mn |
| Jun 30, 2026 | 37.40 Mn |
| Mar 31, 2026 | 37.80 Mn |
| Dec 31, 2025 | 37.20 Mn |
| Sep 30, 2025 | 38.30 Mn |
| Jun 30, 2025 | 38.30 Mn |
| Mar 31, 2025 | 37.20 Mn |
| Dec 31, 2024 | 38.10 Mn |
| Sep 30, 2024 | 39.40 Mn |
| Jun 30, 2024 | 39.50 Mn |
| Mar 31, 2024 | 41.30 Mn |
| Dec 31, 2023 | 43.60 Mn |
| Sep 30, 2023 | 44.00 Mn |
| Jun 30, 2023 | 45.60 Mn |
| Mar 31, 2023 | 45.80 Mn |
| Dec 31, 2022 | 42.20 Mn |
| Sep 30, 2022 | 35.60 Mn |
| Jun 30, 2022 | 34.90 Mn |
| Mar 31, 2022 | 33.60 Mn |
| Dec 31, 2021 | 32.20 Mn |
API Access
GoDaddy Interest Expenses 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=interest-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();