Newbury Street II Acquisition (NTWO) Change in Accrued Expenses (2024 - 2026)
Newbury Street II Acquisition (NTWO) posted Change in Accrued Expenses of $556,235 for Q3 2026, compared with -$7,416 a year earlier and down 52.2% from the prior quarter.
Newbury Street II Acquisition (NTWO) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Newbury Street II Acquisition was $1.72 million; for FY2025, it was $83,625, up 116.2% from FY2024.
- In prior years, Newbury Street II Acquisition's Change in Accrued Expenses was $38,679 in FY2024.
- Quarterly Change in Accrued Expenses has run from a low of -$20,182 in Q1 2026 to a high of $1.16 million in Q2 2026 over five years.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $1.16 million (Q2 2026), -$20,182 (Q1 2026) and $19,896 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 306.80 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 3.00 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 99.00 Mn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 49.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 79.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | -12.60 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 1.17 Bn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 37.50 Mn |
| 10 | Newbury Street II Acquisition | 526.70 Mn | 524.86 Mn | - | 556,235.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 556,235.00 |
| 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 |
| Sep 30, 2024 | 5,800.00 |
Newbury Street II Acquisition Change in Accrued 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_KEY
import 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();