GoDaddy (GDDY) Accumulated Expenses (2014 - 2026)
GoDaddy's Accumulated Expenses was $485.2 million in Q3 2026, down 9.4% from $535.7 million a year earlier but up 6.6% from the prior quarter.
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Analysis
GoDaddy (GDDY) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at GoDaddy came in at $528.7 million, up 39.6% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $378.6 million in FY2024 (-14.4%), $442.2 million in FY2023 (+24.0%), $356.7 million in FY2022 (-18.4%) and $437.3 million in FY2021 (-17.1%).
- Quarterly Accumulated Expenses has moved between $351.6 million (Q3 2022) and $535.7 million (Q3 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with growth averaging 10.4%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 42.2%); the worst was Q3 2022 (a decline of 27.6%).
- Per Business Quant data, GDDY's Accumulated Expenses in the three quarters before Q3 2026 was $455.1 million (Q2 2026), $462.1 million (Q1 2026) and $528.7 million (Q4 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 | 485.20 Mn |
| Jun 30, 2026 | 455.10 Mn |
| Mar 31, 2026 | 462.10 Mn |
| Dec 31, 2025 | 528.70 Mn |
| Sep 30, 2025 | 535.70 Mn |
| Jun 30, 2025 | 519.30 Mn |
| Mar 31, 2025 | 372.80 Mn |
| Dec 31, 2024 | 378.60 Mn |
| Sep 30, 2024 | 438.20 Mn |
| Jun 30, 2024 | 365.10 Mn |
| Mar 31, 2024 | 409.50 Mn |
| Dec 31, 2023 | 442.20 Mn |
| Sep 30, 2023 | 409.70 Mn |
| Jun 30, 2023 | 371.20 Mn |
| Mar 31, 2023 | 383.90 Mn |
| Dec 31, 2022 | 356.70 Mn |
| Sep 30, 2022 | 351.60 Mn |
| Jun 30, 2022 | 355.20 Mn |
| Mar 31, 2022 | 374.10 Mn |
| Dec 31, 2021 | 437.30 Mn |
API Access
GoDaddy Accumulated 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=accumulated-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();