Galaxy Digital (GLXY) Cash & Equivalents (2024 - 2026)
Galaxy Digital's Cash & Equivalents was $1.32 billion in Q3 2026, up 16.5% from $1.14 billion a year earlier and up 47.9% from the prior quarter.
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Analysis
Galaxy Digital (GLXY) Cash & Equivalents (2024 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Galaxy Digital came in at $1.25 billion, up 169.7% from FY2024.
- In earlier years, Cash & Equivalents was $462.1 million in FY2024.
- The Q3 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q4 2024.
- Per Business Quant data, GLXY's Cash & Equivalents in the three quarters before Q3 2026 was $895.74 million (Q2 2026), $910.69 million (Q1 2026) and $1.25 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 2.20 Bn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | - |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 936.00 Mn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 5.83 Bn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 365.00 Mn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | - |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 2.66 Bn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 5.94 Bn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | - |
| 10 | Galaxy Digital | 2.63 Bn | -4.41 Bn | - | 895.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 895.74 Mn |
| Mar 31, 2026 | 910.69 Mn |
| Dec 31, 2025 | 1.25 Bn |
| Sep 30, 2025 | 1.14 Bn |
| Jun 30, 2025 | 691.33 Mn |
| Mar 31, 2025 | 1,000.00 |
| Dec 31, 2024 | 462.10 Mn |
API Access
Galaxy Digital 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=GLXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "GLXY", "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=GLXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();