Oyster Enterprises II Acquisition (OYSE) Operating Expenses (2025 - 2026)
Oyster Enterprises II Acquisition (OYSE) reported Operating Expenses of $142,695 for Q2 2026, up 12.6% from $126,714 a year earlier but down 15.1% from the prior quarter.
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Analysis
Oyster Enterprises II Acquisition (OYSE) Operating Expenses (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oyster Enterprises II Acquisition's Operating Expenses came in at $615,664; for FY2025, it came in at $456,691, up 862.6% from FY2024.
- By year, Operating Expenses came in at $47,444 in FY2024.
- Five-year quarterly Operating Expenses spans a low of $25,100 in Q1 2025 and a high of $168,092 in Q1 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at $168,092 (Q1 2026), $151,730 (Q4 2025) and $153,147 (Q3 2025).
Peer Set
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 | Oyster Enterprises II Acquisition | 352.71 Mn | 352.71 Mn | - | 142,695.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142,695.00 |
| Mar 31, 2026 | 168,092.00 |
| Dec 31, 2025 | 151,730.00 |
| Sep 30, 2025 | 153,147.00 |
| Jun 30, 2025 | 126,714.00 |
| Mar 31, 2025 | 25,100.00 |
API Access
Oyster Enterprises 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=OYSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OYSE", "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=OYSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();