IB Acquisition (IBAC) Accumulated Expenses (2023 - 2026)
IB Acquisition's Accumulated Expenses came in at $15,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), unchanged from $15,000 a year earlier and unchanged from the prior quarter.
IB Acquisition (IBAC) Accumulated Expenses (2023 - 2026) Analysis & Trends
Going back to fiscal Q4 2023, IB Acquisition's Accumulated Expenses data covers 11 quarters.
- Going back by fiscal year, Accumulated Expenses was $15,000 in FY2024 (+87.8%) and $7,987 in FY2023.
- The five-year range for quarterly Accumulated Expenses is $7,987 (fiscal Q4 2023) to $336,744 (fiscal Q2 2024).
- Year-over-year, Accumulated Expenses increased in 1 of the last seven quarters, with an average decline of 9.7%.
- Business Quant data shows IBAC's Accumulated Expenses at $15,000 (Q2 2026), $15,000 (Q1 2026) and $15,000 (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | IB Acquisition | 46.36 Mn | 45.73 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15,000.00 |
| Mar 31, 2026 | 15,000.00 |
| Dec 31, 2025 | 15,000.00 |
| Sep 30, 2025 | 15,000.00 |
| Jun 30, 2025 | 15,000.00 |
| Mar 31, 2025 | 15,000.00 |
| Dec 31, 2024 | 15,000.00 |
| Sep 30, 2024 | 15,000.00 |
| Jun 30, 2024 | 37,500.00 |
| Mar 31, 2024 | 336,744.00 |
| Sep 30, 2023 | 7,987.00 |
IB 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=IBAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "IBAC", "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=IBAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();