GoDaddy (GDDY) Total Current Liabilities (2014 - 2026)
GoDaddy (GDDY) recorded Total Current Liabilities of $3.12 billion in Q2 2026, up 3.4% from $3.02 billion a year earlier and up 2.1% from the prior quarter.
GoDaddy (GDDY) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, GoDaddy reported Total Current Liabilities of $3 billion, up 11.0% from FY2024.
- Annual Total Current Liabilities has increased for 11 straight years, with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $2.7 billion in FY2024 (+0.6%), $2.68 billion in FY2023 (+9.1%), $2.46 billion in FY2022 (+0.9%) and $2.44 billion in FY2021 (+5.3%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2014.
- On a year-over-year basis, Total Current Liabilities has increased for 15 consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 11.5% in Q2 2025, against a decline of 0.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.06 billion (Q1 2026), $3 billion (Q4 2025) and $3.04 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 168.83 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 35.91 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 2.63 Bn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 3.82 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 2.39 Bn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 20.92 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 1.90 Bn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 1.68 Bn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 2.84 Bn |
| 10 | GoDaddy | 11.89 Bn | 7.47 Bn | 828.20 Mn | 3.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.12 Bn |
| Mar 31, 2026 | 3.06 Bn |
| Dec 31, 2025 | 3.00 Bn |
| Sep 30, 2025 | 3.04 Bn |
| Jun 30, 2025 | 3.02 Bn |
| Mar 31, 2025 | 2.79 Bn |
| Dec 31, 2024 | 2.70 Bn |
| Sep 30, 2024 | 2.78 Bn |
| Jun 30, 2024 | 2.71 Bn |
| Mar 31, 2024 | 2.72 Bn |
| Dec 31, 2023 | 2.68 Bn |
| Sep 30, 2023 | 2.65 Bn |
| Jun 30, 2023 | 2.62 Bn |
| Mar 31, 2023 | 2.60 Bn |
| Dec 31, 2022 | 2.46 Bn |
| Sep 30, 2022 | 2.48 Bn |
| Jun 30, 2022 | 2.46 Bn |
| Mar 31, 2022 | 2.47 Bn |
| Dec 31, 2021 | 2.44 Bn |
| Sep 30, 2021 | 2.49 Bn |
GoDaddy Total 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-current-liabilities&ticker=GDDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();