Galaxy Digital (GLXY) Price to Earnings (2025)
Galaxy Digital's Price to Earnings came in at 125.91 for Q3 2025.
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Analysis
Galaxy Digital (GLXY) Price to Earnings (2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 102.58 Bn | 83.68 Bn | - |
| 2 | Bank of New York Mellon | 97.58 Bn | 36.95 Bn | - |
| 3 | Cme | 97.02 Bn | 97.02 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.81 Bn | 49.24 Bn | 1.50 Bn |
| 6 | State Street | 48.44 Bn | 48.44 Bn | - |
| 7 | Interactive Brokers | 40.12 Bn | 33.58 Bn | - |
| 8 | Northern Trust | 31.23 Bn | 31.23 Bn | - |
| 9 | Cboe Global Markets | 29.16 Bn | 20.81 Bn | 731.60 Mn |
| 10 | Galaxy Digital | 8.85 Bn | 2.72 Bn | - |
API Access
Galaxy Digital Price to Earnings 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=price-to-earnings&ticker=GLXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GLXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();