GoDaddy (GDDY) Other Operating Expenses (2014 - 2026)
GoDaddy (GDDY) posted Other Operating Expenses of $843 million for Q2 2026, up 2.4% from $823.5 million a year earlier and up 0.5% from the prior quarter.
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Analysis
GoDaddy (GDDY) Other Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at GoDaddy was $3.35 billion, up 5.0% year-over-year; for FY2025, it was $3.31 billion, up 6.3% from FY2024.
- Annual Other Operating Expenses has increased for 12 consecutive years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In prior years, GoDaddy's Other Operating Expenses was $3.11 billion in FY2024 (+1.3%), $3.07 billion in FY2023 (+2.9%), $2.99 billion in FY2022 (+3.6%) and $2.88 billion in FY2021 (+16.4%).
- Quarterly Other Operating Expenses has run from a low of $716.2 million in Q3 2021 to a high of $843.4 million in Q3 2025 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 46 quarters, with growth averaging 4.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 1.1% in Q3 2024 to 15.4% in Q3 2021.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $839 million (Q1 2026), $823.3 million (Q4 2025) and $843.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 210.60 Mn |
| Jun 30, 2026 | 211.40 Mn |
| Mar 31, 2026 | 213.20 Mn |
| Dec 31, 2025 | 211.40 Mn |
| Sep 30, 2025 | 210.50 Mn |
| Jun 30, 2025 | 214.30 Mn |
| Mar 31, 2025 | 205.30 Mn |
| Dec 31, 2024 | 200.50 Mn |
| Sep 30, 2024 | 205.10 Mn |
| Jun 30, 2024 | 205.90 Mn |
| Mar 31, 2024 | 202.90 Mn |
| Dec 31, 2023 | 203.80 Mn |
| Sep 30, 2023 | 201.60 Mn |
| Jun 30, 2023 | 219.20 Mn |
| Mar 31, 2023 | 215.00 Mn |
| Dec 31, 2022 | 206.30 Mn |
| Sep 30, 2022 | 199.50 Mn |
| Jun 30, 2022 | 198.10 Mn |
| Mar 31, 2022 | 190.10 Mn |
| Dec 31, 2021 | 175.50 Mn |
API Access
GoDaddy Other 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=other-operating-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();