GoDaddy (GDDY) Non Operating Interest Expenses (2014 - 2026)
GoDaddy's Non Operating Interest Expenses was $37.7 million in Q3 2026, down 1.6% from $38.3 million a year earlier but up 0.8% from the prior quarter.
GoDaddy (GDDY) Non Operating Interest Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, GoDaddy's Non Operating Interest Expenses was $150.1 million through Sep 30, 2026, down 1.2% year-over-year; for FY2025, it was $151 million, down 4.6% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $158.3 million in FY2024 (-11.6%), $179 million in FY2023 (+22.4%), $146.3 million in FY2022 (+16.1%) and $126 million in FY2021 (+38.0%).
- Quarterly Non Operating Interest Expenses has moved between $32.2 million (Q4 2021) and $45.8 million (Q1 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in 1 of the last eight quarters, with an average decline of 4.1%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2023 (growth of 36.3%); the worst was Q2 2024 (a decline of 13.4%).
- Per Business Quant data, GDDY's Non Operating Interest Expenses in the three quarters before Q3 2026 was $37.4 million (Q2 2026), $37.8 million (Q1 2026) and $37.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 870.00 Mn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 491.00 Mn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | 3.55 Mn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 163.00 Mn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | - |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | -112.50 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 21.20 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 37.70 Mn |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn | 10.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.70 Mn |
| Jun 30, 2026 | 37.40 Mn |
| Mar 31, 2026 | 37.80 Mn |
| Dec 31, 2025 | 37.20 Mn |
| Sep 30, 2025 | 38.30 Mn |
| Jun 30, 2025 | 38.30 Mn |
| Mar 31, 2025 | 37.20 Mn |
| Dec 31, 2024 | 38.10 Mn |
| Sep 30, 2024 | 39.40 Mn |
| Jun 30, 2024 | 39.50 Mn |
| Mar 31, 2024 | 41.30 Mn |
| Dec 31, 2023 | 43.60 Mn |
| Sep 30, 2023 | 44.00 Mn |
| Jun 30, 2023 | 45.60 Mn |
| Mar 31, 2023 | 45.80 Mn |
| Dec 31, 2022 | 42.20 Mn |
| Sep 30, 2022 | 35.60 Mn |
| Jun 30, 2022 | 34.90 Mn |
| Mar 31, 2022 | 33.60 Mn |
| Dec 31, 2021 | 32.20 Mn |
GoDaddy Non Operating Interest 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=non-operating-interest-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();