Monthly active users (MAUs) and funded account growth - proxy for platform engagement and revenue potential
Average revenue per user (ARPU) - driven by trading frequency, account sizes, and monetization efficiency
Daily average revenue trades (DARTs) - direct indicator of PFOF revenue generation
Customer assets under custody - determines net interest income potential and platform stickiness
high - Retail trading activity is highly procyclical and sentiment-driven. During economic expansions with rising equity markets, retail participation increases as consumers have discretionary income to invest and feel wealth effects. Recessions typically reduce trading volumes as risk appetite declines and consumers prioritize liquidity. The 2020-2021 meme stock boom demonstrated how speculative fervor drives explosive growth, while the 2022 bear market showed the reverse. Consumer confidence and employment levels directly impact new account openings and trading frequency.
Highly positive sensitivity to rising rates through net interest income on customer cash balances, which represents 30-40% of revenue. Each 25bp Fed Funds increase likely adds $5-10M in quarterly interest income based on typical customer cash balances. However, rising rates also compress equity valuations (particularly for unprofitable growth companies like Webull) and can reduce retail trading activity as fixed-income alternatives become more attractive. The valuation multiple compression from higher discount rates is partially offset by improved unit economics.
Regulatory risk to PFOF model - SEC has repeatedly examined banning or restricting payment for order flow, which would eliminate 40-50% of revenue and force a fundamental business model change. European markets have already banned PFOF.
Market structure evolution - Potential move to transparent auction markets or best execution requirements could disintermediate the current PFOF ecosystem and compress revenue per trade
Commoditization of brokerage services - Zero commissions have become table stakes, eliminating differentiation and forcing competition on features, margin rates, and customer experience where incumbents may have advantages
growth - Investors are betting on user growth and path to profitability as the platform scales, despite current losses. The -50.5% one-year return and -61.1% six-month return reflect severe multiple compression as growth expectations reset and profitability remains elusive. High volatility and negative momentum have driven out momentum investors, leaving primarily long-term growth investors who believe in the secular shift to digital brokerage and Webull's ability to capture market share in Asia-Pacific markets where competition is less intense.
No analyst coverage available for this stock.
1 signal unavailable — limited data for this stock
Trend
+17.5% vs SMA 50 · -24.0% vs SMA 200
Momentum
Accumulation pattern present — more buying days than selling over the past 20 sessions. Volume conditions support gradual price improvement.
Based on volume distribution analysis. Direct short interest data (short float %, days to cover) is not available in current data sources.
ANALYST ESTIMATES
Analyst consensus estimates · Actuals replace estimates as reported
| Year | Revenue Est. | Rev Gth | EPS Est. | EPS Gth | Range | Analysts |
|---|---|---|---|---|---|---|
FY2024 | $457.1M $435.8M–$480.9M | — | $0.35 | — | ±6% | Low1 |
FY2025 | $562.4M $536.2M–$591.7M | ▲ +23.0% | $0.20 | ▼ -44.1% | ±6% | Low1 |
FY2026(current) | $713.1M $679.8M–$750.2M | ▲ +26.8% | $0.21 | ▲ +8.0% | ±6% | Low2 |
INSTITUTIONAL OWNERSHIP
BULL News
About
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| Symbol | Price | Day % | Mkt Cap↓ | P/E | Rev Grw | Margin | ELO |
|---|---|---|---|---|---|---|---|
BULL◀ | $7.06 | +0.00% | $3.8B | 148.8 | — | — | 1500 |
| $297.81 | -0.70% | $798.0B | 14.1 | +330.7% | 2039.3% | 1503 | |
| $325.75 | +1.00% | $624.4B | 28.0 | +1134.0% | 5014.5% | 1500 | |
| $494.20 | +0.87% | $436.7B | 28.3 | +1641.6% | 4564.7% | 1490 | |
| $49.77 | -0.16% | $353.2B | 11.4 | -45.1% | 1592.6% | 1495 | |
| $192.51 | -1.04% | $303.6B | 16.6 | +1147.7% | 1466.4% | 1526 | |
| $948.47 | -2.11% | $279.8B | 15.9 | -138.4% | 1373.0% | 1526 | |
| Sector avg | — | -0.31% | — | 37.6 | +678.4% | 2675.1% | 1506 |