Webull (BULL) Other Operating Expenses (2024 - 2026)
Webull's Other Operating Expenses came in at $79.39 million for Q2 2026, up 761.8% from $9.21 million a year earlier but down 9.6% from the prior quarter.
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Analysis
Webull (BULL) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Webull reported Other Operating Expenses of $239.41 million, up 245.2% year-over-year; for FY2025, it was $16.69 million.
- Other Operating Expenses carries a three-year compound annual growth rate of -56.3% (FY2022 to FY2025).
- Going back by year, Other Operating Expenses was -$8.43 million in FY2024, $1.66 million in FY2023 (-99.2%) and $200.04 million in FY2022.
- The five-year range for quarterly Other Operating Expenses is -$9.62 million (Q4 2024) to $87.8 million (Q1 2026).
- Business Quant data shows BULL's Other Operating Expenses at $87.8 million (Q1 2026), $7.21 million (Q4 2025) and $65.01 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn |
| 10 | Webull | 3.69 Bn | 1.00 Bn | 85.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.39 Mn |
| Mar 31, 2026 | 87.80 Mn |
| Dec 31, 2025 | 7.21 Mn |
| Sep 30, 2025 | 65.01 Mn |
| Jun 30, 2025 | 9.21 Mn |
| Mar 31, 2025 | 1.74 Mn |
| Dec 31, 2024 | -9.62 Mn |
| Sep 30, 2024 | 68.01 Mn |
| Jun 30, 2024 | -1.27 Mn |
| Mar 31, 2024 | -2.77 Mn |
API Access
Webull Other 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=other-operating-expenses&ticker=BULL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "BULL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=BULL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();