★ WIDE MOAT STOCKS & COMPETITIVE ADVANTAGES ★
VOL. XCIV, NO. 247
Stock Profile
CoStar Group, Inc. (CSGP) Moat Analysis
CoStar Group, Inc.
CSGP · Nasdaq Global Select Market
Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.
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Overview
CoStar Group operates real estate information, analytics, spatial-data and marketplace businesses across commercial and residential property. Q2 2026 revenue was Residential Real Estate 48.0%, CoStar 36.4%, LoopNet 9.4% and Other Commercial Real Estate 6.2%. The strongest moat remains the CoStar CRE data platform: decades of proprietary collection, a four-million-lease corpus, research scale, workflow embedding and 93% renewal. LoopNet and Residential rely more on two-sided marketplace effects; group traffic was still 118 million monthly visitors but fell from 131 million in Q1. Q2 group revenue rose 18% to $925 million and residential adjusted EBITDA turned positive, while Other Commercial revenue fell 5% and full-year revenue guidance was reduced. The latest exact filing count was 408,355,715 common shares on April 27, 2026; a further 2.4 million shares were repurchased in Q2.
Primary segment
Residential Real Estate (Apartments.com, Homes.com, Land.com, Domain, OnTheMarket)
Market structure
Oligopoly
Market share
—
HHI: —
Coverage
4 segments · 8 tags
Updated 2026-08-23
Segments
CoStar (commercial real estate information & analytics)
Commercial real estate information, analytics, benchmarking, lease management and workflow software
Revenue
36.4%
Structure
Oligopoly
Pricing
strong
Share
—
Peers
LoopNet (commercial property marketing marketplace)
Online commercial property listing marketplaces for sale and lease advertising
Revenue
9.4%
Structure
Oligopoly
Pricing
moderate
Share
—
Peers
Other Commercial Real Estate (Matterport, BizBuySell, Ten-X)
Commercial real estate 3D digital twins, business-for-sale marketplaces and CRE auction platforms
Revenue
6.2%
Structure
Competitive
Pricing
weak
Share
—
Peers
Residential Real Estate (Apartments.com, Homes.com, Land.com, Domain, OnTheMarket)
Residential rental, for-sale and land property portals with subscription and listing advertising
Revenue
48%
Structure
Oligopoly
Pricing
moderate
Share
—
Peers
Moat Claims
CoStar (commercial real estate information & analytics)
Commercial real estate information, analytics, benchmarking, lease management and workflow software
Revenue share computed from Q2 2026 results: CoStar revenue of $337M divided by total revenue of $925M.
Capex Knowhow Scale
Supply
Capex Knowhow Scale
Strength
Durability
Confidence
Evidence
Decades of proprietary CRE data collection, acquisitions, field research and quality-control processes make the core database expensive and slow to replicate.
Capex Knowhow Scale moat: definition, examples, and stocks
Erosion risks
- AI-assisted public-record extraction and alternative data reduce collection cost
- Broker/customer multi-homing across competing data platforms
- CRE downturn reduces willingness to pay for premium data seats
Leading indicators
- CoStar revenue growth and subscriber growth
- Net new subscription bookings
- Renewal rate and seat expansion
Counterarguments
- Many raw CRE facts are public or obtainable from third parties
- Large brokerages and investors can build internal data layers across multiple feeds
Data Network Effects
Network
Data Network Effects
Strength
Durability
Confidence
Evidence
Prominent industry usage can attract broker and owner submissions, improving data timeliness and reinforcing the platform.
Data Network Effects moat: definition, examples, and stocks
Erosion risks
- Brokers redirect listings and transaction submissions to rival platforms
- Data quality disputes reduce willingness to contribute
- Policy or antitrust changes limit platform access terms
Leading indicators
- Listing and transaction update volume
- Customer-reported data quality
- Competitive contribution/share trends
Counterarguments
- Contributors can multi-home and provide the same data to competitors
- Network benefits are weaker if users treat data platforms as utilities rather than communities
Data Workflow Lockin
Demand
Data Workflow Lockin
Strength
Durability
Confidence
Evidence
CoStar data, analytics, benchmarking, lease software and customer workflows can become embedded in prospecting, valuation, underwriting and portfolio management.
Data Workflow Lockin moat: definition, examples, and stocks
Erosion risks
- Customers externalize data into internal platforms
- Regulators constrain contracting practices or data access terms
- Lower-cost competitors win marginal users on price
Leading indicators
- Subscription revenue mix
- Renewal rate and churn
- Customer seat expansion/contraction
Counterarguments
- Contracts eventually renew and users can parallel-run competing tools
- Modern APIs and data warehouses reduce technical switching costs
LoopNet (commercial property marketing marketplace)
Online commercial property listing marketplaces for sale and lease advertising
Revenue share computed from Q2 2026 results: LoopNet revenue of $87M divided by total revenue of $925M.
Two Sided Network
Network
Two Sided Network
Strength
Durability
Confidence
Evidence
LoopNet benefits from a large audience of CRE searchers and advertiser supply; more listings improve user utility, while more traffic improves advertiser ROI.
Two Sided Network moat: definition, examples, and stocks
Erosion risks
- Advertisers multi-home across CRE listing sites
- Search algorithm changes or paid-search inflation reduce traffic economics
- Commercial transaction downturn reduces advertiser budgets
Leading indicators
- Paid listing count
- Average price per listing
- Marketplace traffic and lead conversion
Counterarguments
- Brokers can distribute listings through owned channels, email lists and social media
- A rival can buy traffic or subsidize listings to seed supply
Scope Economies
Supply
Scope Economies
Strength
Durability
Confidence
Evidence
LoopNet can reuse CoStar's database, photography and research content, spreading data-collection costs and improving listing quality across products.
Scope Economies moat: definition, examples, and stocks
Erosion risks
- Competitors source comparable listing content directly from brokers
- Data licensing or content rights disputes constrain reuse
Leading indicators
- Organic traffic share for CRE listing terms
- Lead submissions per listing
- Shared content production cost per listing
Counterarguments
- Marketplace UX and distribution can matter more than data depth for some advertisers
Other Commercial Real Estate (Matterport, BizBuySell, Ten-X)
Commercial real estate 3D digital twins, business-for-sale marketplaces and CRE auction platforms
Revenue share computed from Q2 2026 results: Other Commercial Real Estate revenue of $57M divided by total revenue of $925M.
Scope Economies
Supply
Scope Economies
Strength
Durability
Confidence
Evidence
Matterport spatial data, Ten-X auctions and BizBuySell listings can share CoStar data, content and distribution resources, but realized scope benefits remain limited and each subcategory is competitive.
Scope Economies moat: definition, examples, and stocks
Erosion risks
- Spatial-data competitors and lower-cost 3D capture tools commoditize Matterport
- Auction/listing sellers multi-home across specialist sites
- Transaction volume declines in CRE downturns
Leading indicators
- Matterport hosted spaces/subscription revenue
- Ten-X auction property volume and take rate
- BizBuySell listing volume and traffic
Counterarguments
- These are heterogeneous businesses with weaker shared network effects than CoStar or Apartments.com
- Specialist competitors can win by vertical focus or lower pricing
Residential Real Estate (Apartments.com, Homes.com, Land.com, Domain, OnTheMarket)
Residential rental, for-sale and land property portals with subscription and listing advertising
Revenue share computed from Q2 2026 results: Residential Real Estate revenue of $444M divided by total revenue of $925M. This disclosure includes Apartments.com, Homes.com, Land.com, Domain and OnTheMarket rather than separating multifamily and homes revenue.
Two Sided Network
Network
Two Sided Network
Strength
Durability
Confidence
Evidence
Apartments.com has stronger established network effects; Homes.com, Domain and OnTheMarket add residential portal scale but still face entrenched incumbents and high marketing intensity.
Two Sided Network moat: definition, examples, and stocks
Erosion risks
- Zillow, Realtor.com, REA and Rightmove maintain stronger default consumer behavior in key markets
- High marketing spend required to sustain traffic
- Agents and property managers multi-home across portals
Leading indicators
- Average monthly unique visitors
- Homes.com member count and churn
- Apartments.com advertiser count and lead quality
Counterarguments
- Residential portals often become winner-take-most by market, making #2 scale less valuable
- Traffic can be expensive to buy and may not translate into durable lead quality
Evidence
We have spent more than 35 years building and acquiring databases of real estate information
Direct evidence of cumulative investment and time required to assemble the core data asset.
the largest research department in the commercial real estate industry
Supports a scale/know-how advantage in data collection and validation.
built from four million AI-abstracted lease agreements
The new benchmark product demonstrates both the current scale of the proprietary lease corpus and its reuse in analytics products.
many of these professionals routinely take the initiative and proactively report available space and transactions
Participant contributions can reinforce data breadth and freshness.
an integrated solution of online service offerings
Shows the core data product is delivered as an integrated workflow suite, not only as static data.
Showing 5 of 16 sources.
Risks & Indicators
Erosion risks
- AI-assisted public-record extraction and alternative data reduce collection cost
- Broker/customer multi-homing across competing data platforms
- CRE downturn reduces willingness to pay for premium data seats
- Brokers redirect listings and transaction submissions to rival platforms
- Data quality disputes reduce willingness to contribute
- Policy or antitrust changes limit platform access terms
Leading indicators
- CoStar revenue growth and subscriber growth
- Net new subscription bookings
- Renewal rate and seat expansion
- Data coverage/freshness versus CRE data peers
- Listing and transaction update volume
- Customer-reported data quality
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