Galaxy Digital (GLXY) Other Accumulated Expenses (2024 - 2026)
Galaxy Digital (GLXY) reported Other Accumulated Expenses of $130.58 million for Q2 2026, up 47.4% from $88.61 million a year earlier and up 6.5% from the prior quarter.
Galaxy Digital (GLXY) Other Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Galaxy Digital posted Other Accumulated Expenses of $85.06 million, up 552.6% from FY2024.
- By year, Other Accumulated Expenses came in at $13.03 million in FY2024.
- Five-year quarterly Other Accumulated Expenses spans a low of $13.03 million in Q4 2024 and a high of $235.16 million in Q3 2025.
- Year over year, Other Accumulated Expenses has now increased in each of the last three quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $122.66 million (Q1 2026), $85.06 million (Q4 2025) and $235.16 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 | 130.58 Mn |
| Mar 31, 2026 | 122.66 Mn |
| Dec 31, 2025 | 85.06 Mn |
| Sep 30, 2025 | 235.16 Mn |
| Jun 30, 2025 | 88.61 Mn |
| Mar 31, 2025 | 73.36 Mn |
| Dec 31, 2024 | 13.03 Mn |
Galaxy Digital Other Accumulated Expenses 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-accumulated-expenses&ticker=GLXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=GLXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();