GoDaddy (GDDY) Total Liabilities (2014 - 2026)
GoDaddy (GDDY) reported Total Liabilities of $7.99 billion for Q2 2026, up 1.5% from $7.87 billion a year earlier and up 0.9% from the prior quarter.
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Analysis
GoDaddy (GDDY) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, GoDaddy posted Total Liabilities of $7.82 billion, up 3.7% from FY2024.
- Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $7.54 billion in FY2024 (+0.5%), $7.5 billion in FY2023 (+2.7%), $7.3 billion in FY2022 (-0.4%) and $7.33 billion in FY2021 (+13.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2014.
- Year over year, Total Liabilities has now increased in each of the last 14 quarters, with growth averaging 2.5% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 16.1%); the low point was Q3 2022 (a decline of 0.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.92 billion (Q1 2026), $7.82 billion (Q4 2025) and $7.89 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,932.06 Bn | 3,855.22 Bn | 60.48 Bn | 315.99 Bn |
| 2 | International Business Machines | 226.19 Bn | 177.00 Bn | 9.91 Bn | 117.56 Bn |
| 3 | Cloudflare | 103.02 Bn | 86.55 Bn | 499.52 Mn | 4.85 Bn |
| 4 | Equinix | 95.67 Bn | 84.23 Bn | 1.40 Bn | 26.69 Bn |
| 5 | Nebius | 40.35 Bn | 13.78 Bn | 448.70 Mn | 17.62 Bn |
| 6 | CoreWeave | 32.60 Bn | 19.69 Bn | 1.70 Bn | 72.05 Bn |
| 7 | Verisign | 27.95 Bn | 25.16 Bn | 384.60 Mn | 4.06 Bn |
| 8 | Nutanix | 18.05 Bn | 9.73 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 14.24 Bn | 9.81 Bn | 828.20 Mn | 7.99 Bn |
| 10 | Akamai Technologies | 12.83 Bn | 6.24 Bn | 613.75 Mn | 10.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.99 Bn |
| Mar 31, 2026 | 7.92 Bn |
| Dec 31, 2025 | 7.82 Bn |
| Sep 30, 2025 | 7.89 Bn |
| Jun 30, 2025 | 7.87 Bn |
| Mar 31, 2025 | 7.64 Bn |
| Dec 31, 2024 | 7.54 Bn |
| Sep 30, 2024 | 7.64 Bn |
| Jun 30, 2024 | 7.56 Bn |
| Mar 31, 2024 | 7.56 Bn |
| Dec 31, 2023 | 7.50 Bn |
| Sep 30, 2023 | 7.48 Bn |
| Jun 30, 2023 | 7.46 Bn |
| Mar 31, 2023 | 7.45 Bn |
| Dec 31, 2022 | 7.30 Bn |
| Sep 30, 2022 | 7.35 Bn |
| Jun 30, 2022 | 7.35 Bn |
| Mar 31, 2022 | 7.37 Bn |
| Dec 31, 2021 | 7.33 Bn |
| Sep 30, 2021 | 7.40 Bn |
API Access
GoDaddy Total 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-liabilities&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();