Newbury Street II Acquisition (NTWO) Accumulated Expenses (2024 - 2026)
Newbury Street II Acquisition's Accumulated Expenses came in at $25,000 for Q2 2026, unchanged from $25,000 a year earlier and unchanged from the prior quarter.
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Analysis
Newbury Street II Acquisition (NTWO) Accumulated Expenses (2024 - 2026) Analysis & Trends
Going back to Q4 2024, Newbury Street II Acquisition's Accumulated Expenses data covers 7 quarters.
- Going back by year, Accumulated Expenses was $100,264 in FY2024.
- The five-year range for quarterly Accumulated Expenses is $25,000 (Q1 2025) to $100,264 (Q4 2024).
- Business Quant data shows NTWO's Accumulated Expenses at $25,000 (Q1 2026), $25,000 (Q4 2025) and $25,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn |
| 10 | Newbury Street II Acquisition | 186.64 Mn | 186.64 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25,000.00 |
| Mar 31, 2026 | 25,000.00 |
| Dec 31, 2025 | 25,000.00 |
| Sep 30, 2025 | 25,000.00 |
| Jun 30, 2025 | 25,000.00 |
| Mar 31, 2025 | 25,000.00 |
| Dec 31, 2024 | 100,264.00 |
API Access
Newbury Street II 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=NTWO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NTWO", "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=NTWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();