Rising Dragon Acquisition (RDAC) Accumulated Expenses (2024 - 2026)
Rising Dragon Acquisition (RDAC) reported Accumulated Expenses of $76,194 for Q2 2026, up 260.9% from $21,113 a year earlier but down 17.7% from the prior quarter.
Rising Dragon Acquisition (RDAC) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Rising Dragon Acquisition posted Accumulated Expenses of $114,310, up 408.0% from FY2024.
- By year, Accumulated Expenses came in at $22,500 in FY2024.
- Five-year quarterly Accumulated Expenses spans a low of $19,500 in Q1 2025 and a high of $114,310 in Q4 2025.
- Year over year, 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 $92,627 (Q1 2026), $114,310 (Q4 2025) and $25,315 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | Rising Dragon Acquisition | 20.49 Mn | 20.49 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76,194.00 |
| Mar 31, 2026 | 92,627.00 |
| Dec 31, 2025 | 114,310.00 |
| Sep 30, 2025 | 25,315.00 |
| Jun 30, 2025 | 21,113.00 |
| Mar 31, 2025 | 19,500.00 |
| Dec 31, 2024 | 22,500.00 |
Rising Dragon 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=RDAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RDAC", "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=RDAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();