GoDaddy (GDDY) Cash & Equivalents (2014 - 2026)
GoDaddy (GDDY) recorded Cash & Equivalents of $1.16 billion in Q2 2026, up 6.3% from $1.09 billion a year earlier but down 8.4% from the prior quarter.
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Analysis
GoDaddy (GDDY) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, GoDaddy reported Cash & Equivalents of $1.08 billion, down 0.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $1.09 billion in FY2024 (+137.4%), $458.8 million in FY2023 (-40.7%), $774 million in FY2022 (-38.4%) and $1.26 billion in FY2021 (+64.1%).
- Quarterly Cash & Equivalents has ranged from $329.2 million in Q3 2023 to $1.26 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in seven of the last eight quarters, with growth averaging 65.5%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 144.3% in Q2 2025, against a decline of 60.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.26 billion (Q1 2026), $1.08 billion (Q4 2025) and $923.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 20.94 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 7.17 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 1.66 Bn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 979.00 Mn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 8.04 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 5.52 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 840.90 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 777.31 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 1.48 Bn |
| 10 | GoDaddy | 12.33 Bn | 7.91 Bn | 828.20 Mn | 1.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.16 Bn |
| Mar 31, 2026 | 1.26 Bn |
| Dec 31, 2025 | 1.08 Bn |
| Sep 30, 2025 | 923.70 Mn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 719.40 Mn |
| Dec 31, 2024 | 1.09 Bn |
| Sep 30, 2024 | 767.10 Mn |
| Jun 30, 2024 | 444.90 Mn |
| Mar 31, 2024 | 664.00 Mn |
| Dec 31, 2023 | 458.80 Mn |
| Sep 30, 2023 | 329.20 Mn |
| Jun 30, 2023 | 582.60 Mn |
| Mar 31, 2023 | 892.40 Mn |
| Dec 31, 2022 | 774.00 Mn |
| Sep 30, 2022 | 826.20 Mn |
| Jun 30, 2022 | 770.40 Mn |
| Mar 31, 2022 | 742.70 Mn |
| Dec 31, 2021 | 1.26 Bn |
| Sep 30, 2021 | 1.14 Bn |
API Access
GoDaddy Cash & Equivalents 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=cash-and-equivalents&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();