GoDaddy (GDDY) Operating Expenses (2014 - 2026)
GoDaddy (GDDY) posted Operating Expenses of $955.5 million for Q2 2026, up 0.4% from $951.3 million a year earlier but down 0.1% from the prior quarter.
GoDaddy (GDDY) Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at GoDaddy was $3.84 billion, up 2.9% year-over-year; for FY2025, it came in at $3.82 billion, up 3.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, GoDaddy's Operating Expenses was $3.68 billion in FY2024 (-0.7%), $3.71 billion in FY2023 (+3.2%), $3.59 billion in FY2022 (+4.6%) and $3.43 billion in FY2021 (+12.8%).
- Quarterly Operating Expenses has run from a low of $832.7 million in Q3 2021 to a high of $968.6 million in Q3 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last seven quarters, with growth averaging 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 14.5%; the weakest was Q1 2024, with a decline of 3.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $956.4 million (Q1 2026), $956.9 million (Q4 2025) and $968.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,780.05 Bn | 3,703.20 Bn | 60.48 Bn | 12.28 Bn |
| 2 | International Business Machines | 207.28 Bn | 158.18 Bn | 9.91 Bn | 7.29 Bn |
| 3 | Cloudflare | 113.42 Bn | 96.95 Bn | 499.52 Mn | 705.21 Mn |
| 4 | Equinix | 100.18 Bn | 88.73 Bn | 1.40 Bn | 1.96 Bn |
| 5 | Nebius | 60.05 Bn | 33.49 Bn | 448.70 Mn | 758.20 Mn |
| 6 | CoreWeave | 47.35 Bn | 34.44 Bn | 1.70 Bn | 2.62 Bn |
| 7 | Verisign | 25.30 Bn | 22.51 Bn | 384.60 Mn | 138.30 Mn |
| 8 | Nutanix | 18.96 Bn | 10.65 Bn | 651.35 Mn | 581.36 Mn |
| 9 | Akamai Technologies | 15.57 Bn | 8.98 Bn | 613.75 Mn | 1.02 Bn |
| 10 | GoDaddy | 11.93 Bn | 7.51 Bn | 828.20 Mn | 955.50 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 832.70 Mn |
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_KEY
import 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();