GoDaddy (GDDY) Capital Expenditures (2014 - 2026)
GoDaddy's Capital Expenditures came in at $11.9 million for Q3 2026, up 28.0% from $9.3 million a year earlier and up 133.3% from the prior quarter.
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Analysis
GoDaddy (GDDY) Capital Expenditures (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, GoDaddy reported Capital Expenditures of $28.5 million, down 9.2% year-over-year; for FY2025, it was $23.9 million, down 10.2% from FY2024.
- Capital Expenditures has declined in each of the last three years, with a five-year compound annual growth rate of -18.5% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $26.6 million in FY2024 (-36.7%), $42 million in FY2023 (-29.6%), $59.7 million in FY2022 (+16.8%) and $51.1 million in FY2021 (-23.2%).
- The Q3 2026 figure represents the highest quarterly Capital Expenditures since Q4 2024.
- Year-over-year, Capital Expenditures has increased for three consecutive quarters, with growth averaging 50.3% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2024 (growth of 260.0%), and the weakest in Q1 2024 (a decline of 80.7%).
- Business Quant data shows GDDY's Capital Expenditures at $5.1 million (Q2 2026), $4.6 million (Q1 2026) and $6.9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 39.37 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 332.00 Mn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 1.57 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 121.81 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | -5.66 Bn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 7.60 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | 6.42 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 37.44 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 11.90 Mn |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn | 144.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.90 Mn |
| Jun 30, 2026 | 5.10 Mn |
| Mar 31, 2026 | 4.60 Mn |
| Dec 31, 2025 | 6.90 Mn |
| Sep 30, 2025 | 9.30 Mn |
| Jun 30, 2025 | 4.10 Mn |
| Mar 31, 2025 | 3.60 Mn |
| Dec 31, 2024 | 14.40 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Jun 30, 2024 | 2.80 Mn |
| Mar 31, 2024 | 4.40 Mn |
| Dec 31, 2023 | 4.00 Mn |
| Sep 30, 2023 | 9.40 Mn |
| Jun 30, 2023 | 5.80 Mn |
| Mar 31, 2023 | 22.80 Mn |
| Dec 31, 2022 | 17.10 Mn |
| Sep 30, 2022 | 12.40 Mn |
| Jun 30, 2022 | 17.90 Mn |
| Mar 31, 2022 | 12.30 Mn |
| Dec 31, 2021 | 17.40 Mn |
API Access
GoDaddy Capital Expenditures 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=capital-expenditures&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();