Newbury Street II Acquisition (NTWO) Operating Expenses (2025 - 2026)
Newbury Street II Acquisition (NTWO) posted Operating Expenses of $1.32 million for Q2 2026, up 698.1% from $164,940 a year earlier and up 500.7% from the prior quarter.
Newbury Street II Acquisition (NTWO) Operating Expenses (2025 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Newbury Street II Acquisition was $1.9 million; for FY2025, it was $688,452, up 292.0% from FY2024.
- In prior years, Newbury Street II Acquisition's Operating Expenses was $175,611 in FY2024.
- According to Business Quant data, Operating Expenses for the three prior quarters was $219,150 (Q1 2026), $228,089 (Q4 2025) and $140,317 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 3.44 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 255.60 Mn |
| 10 | Newbury Street II Acquisition | 186.64 Mn | 186.64 Mn | - | 1.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.32 Mn |
| Mar 31, 2026 | 219,150.00 |
| Dec 31, 2025 | 228,089.00 |
| Sep 30, 2025 | 140,317.00 |
| Jun 30, 2025 | 164,940.00 |
| Mar 31, 2025 | 155,106.00 |
Newbury Street II Acquisition Operating 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=operating-expenses&ticker=NTWO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NTWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();