Webull (BULL) Total Liabilities (2023 - 2026)
Webull's Total Liabilities came in at $3.07 billion for Q2 2026, up 63.9% from $1.87 billion a year earlier and up 13.9% from the prior quarter.
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Analysis
Webull (BULL) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Webull's Total Liabilities was $2.86 billion, down 33.8% from FY2024.
- Going back by year, Total Liabilities was $4.32 billion in FY2024 (+43.1%) and $3.02 billion in FY2023.
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q1 2025.
- Year-over-year, Total Liabilities increased in two of the last four quarters, with growth averaging 9.1%.
- Business Quant data shows BULL's Total Liabilities at $2.7 billion (Q1 2026), $2.86 billion (Q4 2025) and $2.49 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 165.53 Bn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 449.94 Bn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 147.08 Bn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 48.19 Bn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 15.38 Bn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | - |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 5.30 Bn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 219.98 Bn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 153.91 Bn |
| 10 | Webull | 1.95 Bn | -735.52 Mn | 85.87 Mn | 3.07 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.07 Bn |
| Mar 31, 2026 | 2.70 Bn |
| Dec 31, 2025 | 2.86 Bn |
| Sep 30, 2025 | 2.49 Bn |
| Jun 30, 2025 | 1.87 Bn |
| Mar 31, 2025 | 4.28 Bn |
| Dec 31, 2024 | 4.32 Bn |
| Dec 31, 2023 | 3.02 Bn |
API Access
Webull Total Liabilities 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=total-liabilities&ticker=BULL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BULL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();