Westin Acquisition (WSTN) Operating Expenses (2025 - 2026)
Westin Acquisition (WSTN) recorded Operating Expenses of $135,620 in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 54.8% from the prior quarter.
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Analysis
Westin Acquisition (WSTN) Operating Expenses (2025 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Westin Acquisition reported Operating Expenses of $490,333.
- Across earlier fiscal years, Operating Expenses came in at $9,475 in FY2025.
- Quarterly Operating Expenses has ranged from $4,339 in fiscal Q1 2026 to $262,779 in fiscal Q2 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $87,595 (Q3 2026), $262,779 (Q2 2026) and $4,339 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 595.90 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 3.49 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 1.36 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 739.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 749.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 2.62 Bn |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 249.40 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 418.00 Mn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 1.49 Bn |
| 10 | Westin Acquisition | 121.45 Mn | 121.13 Mn | - | 135,620.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135,620.00 |
| Mar 31, 2026 | 87,595.00 |
| Dec 31, 2025 | 262,779.00 |
| Sep 30, 2025 | 4,339.00 |
API Access
Westin 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=WSTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WSTN", "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=WSTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();