GoDaddy (GDDY) Operating Expenses (2014 - 2026)
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Analysis
GoDaddy (GDDY) Operating Expenses (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,959.78 Bn | 3,895.27 Bn | 62.56 Bn | 16.64 Bn |
| 2 | International Business Machines | 231.09 Bn | 186.37 Bn | 9.71 Bn | 7.00 Bn |
| 3 | Cloudflare | 109.27 Bn | 91.71 Bn | 557.23 Mn | 625.16 Mn |
| 4 | Equinix | 103.94 Bn | 91.83 Bn | 1.31 Bn | 1.97 Bn |
| 5 | Nebius | 33.90 Bn | 7.34 Bn | 448.70 Mn | 758.20 Mn |
| 6 | Verisign | 27.94 Bn | 25.29 Bn | 393.20 Mn | 146.50 Mn |
| 7 | CoreWeave | 26.85 Bn | 26.85 Bn | - | 3.45 Bn |
| 8 | Nutanix | 16.04 Bn | 7.73 Bn | 651.35 Mn | 581.36 Mn |
| 9 | GoDaddy | 13.84 Bn | 9.22 Bn | 843.00 Mn | 979.30 Mn |
| 10 | Yinfu Gold | 12.17 Bn | 12.17 Bn | - | 32,735.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 979.30 Mn |
| Jun 30, 2026 | 955.50 Mn |
| Mar 31, 2026 | 956.40 Mn |
| Dec 31, 2025 | 956.90 Mn |
| Sep 30, 2025 | 968.60 Mn |
| Jun 30, 2025 | 951.30 Mn |
| Mar 31, 2025 | 947.00 Mn |
| Dec 31, 2024 | 937.00 Mn |
| Sep 30, 2024 | 893.80 Mn |
| Jun 30, 2024 | 916.30 Mn |
| Mar 31, 2024 | 932.60 Mn |
| Dec 31, 2023 | 910.40 Mn |
| Sep 30, 2023 | 902.60 Mn |
| Jun 30, 2023 | 928.50 Mn |
| Mar 31, 2023 | 965.20 Mn |
| Dec 31, 2022 | 905.00 Mn |
| Sep 30, 2022 | 903.50 Mn |
| Jun 30, 2022 | 890.90 Mn |
| Mar 31, 2022 | 893.10 Mn |
| Dec 31, 2021 | 894.50 Mn |
API Access
GoDaddy Operating 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=operating-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();