Newbury Street II Acquisition (NTWO) Change in Accured Expenses (2025 - 2026)
Newbury Street II Acquisition (NTWO) posted Change in Accured Expenses of $1.16 million for Q2 2026, compared with $57,351 a year earlier.
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Analysis
Newbury Street II Acquisition (NTWO) Change in Accured Expenses (2025 - 2026) Analysis & Trends
For FY2025, Newbury Street II Acquisition's Change in Accured Expenses came in at $83,625, up 116.2% from FY2024.
- In prior years, Newbury Street II Acquisition's Change in Accured Expenses was $38,679 in FY2024.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$20,182 (Q1 2026), $19,896 (Q4 2025) and -$7,416 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 67.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | -70.30 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | -77.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 36.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 364.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -55.70 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 69.70 Mn |
| 10 | Newbury Street II Acquisition | 186.47 Mn | 186.47 Mn | - | 1.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.16 Mn |
| Mar 31, 2026 | -20,182.00 |
| Dec 31, 2025 | 19,896.00 |
| Sep 30, 2025 | -7,416.00 |
| Jun 30, 2025 | 57,351.00 |
| Mar 31, 2025 | 13,794.00 |
API Access
Newbury Street II Acquisition Change in Accured 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=change-in-accured-expenses&ticker=NTWO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NTWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();