★ WIDE MOAT STOCKS & COMPETITIVE ADVANTAGES ★
VOL. XCIV, NO. 247
Interactive Brokers Group, Inc.
IBKR · NASDAQ
Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.
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Overview
Interactive Brokers Group, Inc. operates a single brokerage segment, providing multi-asset execution, clearing, custody, prime brokerage, securities lending, and margin lending globally. The moat is primarily operational: proprietary, highly automated systems support low execution costs, scalable risk controls, and high transaction throughput. Hub-like advantages come from access to 170+ electronic exchanges and market centers in 40 countries and 29 currencies, plus API and FIX connectivity. Generic regulatory barriers were not treated as a company-specific compliance moat, and use of standardized FIX connectivity did not establish workflow lock-in. Key pressures are intense price competition, large incumbent technology budgets, regulatory scrutiny, cyber and operational risk, and rate-cycle sensitivity.
Primary segment
Brokerage
Market structure
Competitive
Market share
—
HHI: —
Coverage
1 segments · 8 tags
Updated 2026-07-12
Segments
Brokerage
Multi-asset electronic brokerage, clearing, custody, prime brokerage, securities lending, margin lending, and prediction-market access
Revenue
100%
Structure
Competitive
Pricing
weak
Share
—
Peers
Moat Claims
Brokerage
Multi-asset electronic brokerage, clearing, custody, prime brokerage, securities lending, margin lending, and prediction-market access
IBKR reports a single reportable segment, brokerage. The Q1 FY2026 10-Q reported $1.669B of net revenues and $1.288B of income before income taxes. June 2026 monthly metrics reported 5.185M client accounts, $930.3B of ending client equity, and 5.269M DARTs.
Operational Excellence
Supply
Operational Excellence
Strength
Durability
Confidence
Evidence
Decades of internally developed, highly automated trading, risk, and back-office systems support low execution costs and scalable global operations.
Operational Excellence moat: definition, examples, and stocks
Erosion risks
- Technology commoditization and rivals closing the automation gap (including AI-enabled tooling)
- Major outage, cyber incident, or operational failure harming trust and triggering client churn
- Third-party dependency failures (exchanges, banks, crypto partners) disrupting service
Leading indicators
- Cost-to-serve (expense per account / per DART) trend
- Platform uptime and incident frequency
- DARTs, client accounts, client equity, and margin loan balances
Counterarguments
- Large incumbents (e.g., Schwab, Fidelity, major banks) also operate at scale and can invest heavily in technology
- Some clients are price and UX sensitive and can switch brokers with relatively low friction via account transfer rails
Interoperability Hub
Network
Interoperability Hub
Strength
Durability
Confidence
Evidence
A unified, multi-currency platform connecting clients to 170+ exchanges and market centers with desktop, mobile, API, and FIX access acts as a hub for global multi-asset trading workflows.
Interoperability Hub moat: definition, examples, and stocks
Erosion risks
- Competitors expand global access and narrow breadth differentiation
- Regulatory and geopolitical restrictions reduce cross-border product and market access
- Standardized connectivity (FIX and OMS) reduces switching friction for institutional multi-broker setups
Leading indicators
- Number of markets and currencies supported
- Growth in non-U.S. client accounts and client equity
- Client account count and client equity from monthly brokerage metrics
Counterarguments
- Institutional clients often multi-home across brokers and prime brokers, limiting lock-in to any single connectivity hub
- For many retail users, breadth of global access is not the primary driver vs UX, content, or brand
Evidence
Our proprietary technology is the key to our success.
Directly supports an operations and technology-driven cost and efficiency advantage.
we employ proprietary technology to automate
Automation reduces unit servicing costs and supports consistent execution and risk controls at scale.
5.269 million Daily Average Revenue Trades (DARTs)
Current monthly metrics show large-scale transaction throughput on the automated platform.
more than 170 electronic exchanges and market centers in 40 countries and 29 currencies
Supports breadth of venue and currency connectivity and the value of a single integrated platform.
API... or industry standard Financial Information Exchange ("FIX") connectivity
Supports hub-like integration into institutional systems via standard connectivity.
Risks & Indicators
Erosion risks
- Technology commoditization and rivals closing the automation gap (including AI-enabled tooling)
- Major outage, cyber incident, or operational failure harming trust and triggering client churn
- Third-party dependency failures (exchanges, banks, crypto partners) disrupting service
- Competitors expand global access and narrow breadth differentiation
- Regulatory and geopolitical restrictions reduce cross-border product and market access
- Standardized connectivity (FIX and OMS) reduces switching friction for institutional multi-broker setups
Leading indicators
- Cost-to-serve (expense per account / per DART) trend
- Platform uptime and incident frequency
- DARTs, client accounts, client equity, and margin loan balances
- Commission and financing-rate competitiveness vs peers
- Number of markets and currencies supported
- Growth in non-U.S. client accounts and client equity
Research IBKR elsewhere
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