GoDaddy (GDDY) Revenue (2014 - 2026)
Analysis
GoDaddy (GDDY) Revenue (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 4,023.30 Bn | 3,958.79 Bn | 62.56 Bn | 92.28 Bn |
| 2 | International Business Machines | 233.89 Bn | 188.50 Bn | 9.71 Bn | 17.10 Bn |
| 3 | Equinix | 104.43 Bn | 92.33 Bn | 1.31 Bn | 2.57 Bn |
| 4 | Cloudflare | 104.43 Bn | 86.87 Bn | 557.23 Mn | 782.51 Mn |
| 5 | Nebius | 33.53 Bn | 6.96 Bn | 448.70 Mn | 582.30 Mn |
| 6 | Verisign | 27.73 Bn | 25.08 Bn | 393.20 Mn | 443.00 Mn |
| 7 | CoreWeave | 26.91 Bn | 14.00 Bn | 1.70 Bn | 2.58 Bn |
| 8 | Nutanix | 16.18 Bn | 7.86 Bn | 651.35 Mn | 757.08 Mn |
| 9 | GoDaddy | 14.28 Bn | 9.66 Bn | 843.00 Mn | 1.34 Bn |
| 10 | Akamai Technologies | 11.90 Bn | 5.31 Bn | 613.75 Mn | 1.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.34 Bn |
| Jun 30, 2026 | 1.30 Bn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 1.27 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.22 Bn |
| Mar 31, 2025 | 1.19 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.15 Bn |
| Jun 30, 2024 | 1.12 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 1.07 Bn |
| Jun 30, 2023 | 1.05 Bn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | 1.04 Bn |
| Sep 30, 2022 | 1.03 Bn |
| Jun 30, 2022 | 1.02 Bn |
| Mar 31, 2022 | 1.00 Bn |
| Dec 31, 2021 | 1.02 Bn |
API Access
GoDaddy Revenue 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=revenue&ticker=GDDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();