Republic Digital Acquisition (RDAG) Accumulated Expenses (2025)
Republic Digital Acquisition (RDAG) recorded Accumulated Expenses of $5,000 in Q1 2025.
Analysis
Republic Digital Acquisition (RDAG) Accumulated Expenses (2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 109.93 Bn | 98.03 Bn | - |
| 2 | Intercontinental Exchange | 91.85 Bn | 85.66 Bn | - |
| 3 | Robinhood Markets | 86.83 Bn | 67.92 Bn | - |
| 4 | Nasdaq | 57.69 Bn | 55.13 Bn | 1.48 Bn |
| 5 | Interactive Brokers | 37.07 Bn | 30.53 Bn | - |
| 6 | Cboe Global Markets | 34.37 Bn | 26.02 Bn | 731.60 Mn |
| 7 | Tradeweb Markets | 28.54 Bn | 21.25 Bn | - |
| 8 | LPL Financial Holdings | 25.11 Bn | 20.43 Bn | - |
| 9 | Circle Internet | 20.23 Bn | 14.11 Bn | 288.85 Mn |
| 10 | Republic Digital Acquisition | 391.87 Mn | 388.17 Mn | - |
API Access
Republic Digital Acquisition 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=accumulated-expenses&ticker=RDAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RDAG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RDAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();