StoneBridge Acquisition (APAC) Operating Expenses (2025 - 2026)
StoneBridge Acquisition's Operating Expenses was $168,714 in Q2 2026, compared with $12,000 a year earlier and up 32.9% from the prior quarter.
StoneBridge Acquisition (APAC) Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, StoneBridge Acquisition's Operating Expenses was $534,346 through Jun 30, 2026; for FY2025, it was $250,690.
- In earlier years, Operating Expenses was $7,675 in FY2024.
- Quarterly Operating Expenses has moved between $12,000 (Q2 2025) and $192,256 (Q4 2025) over five years.
- Per Business Quant data, APAC's Operating Expenses in the three quarters before Q2 2026 was $126,942 (Q1 2026), $192,256 (Q4 2025) and $46,434 (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 | StoneBridge Acquisition | 82.60 Mn | 82.60 Mn | - | 168,714.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168,714.00 |
| Mar 31, 2026 | 126,942.00 |
| Dec 31, 2025 | 192,256.00 |
| Sep 30, 2025 | 46,434.00 |
| Jun 30, 2025 | 12,000.00 |
StoneBridge 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=APAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "APAC", "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=APAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();