Galaxy Digital (GLXY) Other Non-Current Liabilities (2024 - 2026)
Galaxy Digital (GLXY) posted Other Non-Current Liabilities of $457.37 million for Q2 2026, up 78.6% from $256.13 million a year earlier and up 2.2% from the prior quarter.
Galaxy Digital (GLXY) Other Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Galaxy Digital's Other Non-Current Liabilities came in at $513.17 million, up 166.7% from FY2024.
- In prior years, Galaxy Digital's Other Non-Current Liabilities was $192.39 million in FY2024.
- Quarterly Other Non-Current Liabilities has run from a low of $162.11 million in Q1 2025 to a high of $513.17 million in Q4 2025 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last three quarters.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $447.41 million (Q1 2026), $513.17 million (Q4 2025) and $460.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | Galaxy Digital | 9.01 Bn | 2.88 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 457.37 Mn |
| Mar 31, 2026 | 447.41 Mn |
| Dec 31, 2025 | 513.17 Mn |
| Sep 30, 2025 | 460.09 Mn |
| Jun 30, 2025 | 256.13 Mn |
| Mar 31, 2025 | 162.11 Mn |
| Dec 31, 2024 | 192.39 Mn |
Galaxy Digital Other 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=other-non-current-liabilities&ticker=GLXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=GLXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();