GoDaddy (GDDY) Total Non-Current Liabilities (2014 - 2026)
GoDaddy's Total Non-Current Liabilities was $7.93 billion in Q2 2026, up 1.5% from $7.81 billion a year earlier and up 1.0% from the prior quarter.
GoDaddy (GDDY) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at GoDaddy came in at $7.76 billion, up 4.0% from FY2024.
- Total Non-Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $7.46 billion in FY2024 (+0.6%), $7.41 billion in FY2023 (+2.7%), $7.22 billion in FY2022 (-0.6%) and $7.26 billion in FY2021 (+13.6%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 14 straight quarters, with growth averaging 2.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 16.0%); the worst was Q2 2022 (a decline of 0.9%).
- Per Business Quant data, GDDY's Total Non-Current Liabilities in the three quarters before Q2 2026 was $7.86 billion (Q1 2026), $7.76 billion (Q4 2025) and $7.84 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 250.87 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | 107.51 Bn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | 4.83 Bn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 25.68 Bn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 15.23 Bn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | 71.68 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 2.16 Bn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | 4.34 Bn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 10.17 Bn |
| 10 | GoDaddy | 12.11 Bn | 7.69 Bn | 828.20 Mn | 7.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.93 Bn |
| Mar 31, 2026 | 7.86 Bn |
| Dec 31, 2025 | 7.76 Bn |
| Sep 30, 2025 | 7.84 Bn |
| Jun 30, 2025 | 7.81 Bn |
| Mar 31, 2025 | 7.58 Bn |
| Dec 31, 2024 | 7.46 Bn |
| Sep 30, 2024 | 7.56 Bn |
| Jun 30, 2024 | 7.48 Bn |
| Mar 31, 2024 | 7.47 Bn |
| Dec 31, 2023 | 7.41 Bn |
| Sep 30, 2023 | 7.39 Bn |
| Jun 30, 2023 | 7.37 Bn |
| Mar 31, 2023 | 7.36 Bn |
| Dec 31, 2022 | 7.22 Bn |
| Sep 30, 2022 | 7.26 Bn |
| Jun 30, 2022 | 7.26 Bn |
| Mar 31, 2022 | 7.30 Bn |
| Dec 31, 2021 | 7.26 Bn |
| Sep 30, 2021 | 7.33 Bn |
GoDaddy Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GDDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();