VOL. XCIV, NO. 247
★ WIDE MOAT STOCKS & COMPETITIVE ADVANTAGES ★
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Wednesday, December 31, 2025
AutoZone, Inc.
AZO · New York Stock Exchange
Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.
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Overview
AutoZone, Inc. is a leading retailer and distributor of automotive replacement parts and accessories across the Americas. The core advantage is a dense store footprint paired with a hub/mega-hub and distribution-center network that improves local parts availability and speed for both DIY customers and professional repair shops. Private-label brands and proprietary in-store systems support differentiation, while favorable supplier terms can reduce working-capital needs. Key risks include intense price competition (including e-commerce), peers upgrading supply chains, and longer-term shifts in vehicle mix that change parts demand.
Primary segment
U.S. Auto Parts Retail & Commercial Distribution
Market structure
Competitive
Market share
—
HHI: —
Coverage
2 segments · 6 tags
Updated 2025-12-31
Segments
U.S. Auto Parts Retail & Commercial Distribution
U.S. automotive aftermarket replacement parts & accessories retail and commercial distribution
Revenue
88%
Structure
Competitive
Pricing
moderate
Share
—
Peers
International Auto Parts Retail & Commercial Distribution (Mexico & Brazil)
Automotive aftermarket replacement parts & accessories retail and commercial distribution
Revenue
12%
Structure
Competitive
Pricing
weak
Share
—
Peers
Moat Claims
U.S. Auto Parts Retail & Commercial Distribution
U.S. automotive aftermarket replacement parts & accessories retail and commercial distribution
Revenue_share computed from FY2025 net sales by geography (U.S. vs outside U.S.) disclosed in the Form 10-K.
Distribution Control
Supply
Distribution Control
Strength: 4/5 · Durability: durable · Confidence: 4/5 · 1 evidence
Hub/mega-hub and distribution-center network supports fast local parts availability.
Erosion risks
- Competitors replicate hub-and-spoke inventory models
- Last-mile delivery improvements by e-commerce
Leading indicators
- Hub and mega hub count
- Distribution center openings/closures
- In-stock and fill-rate metrics (if disclosed)
Counterarguments
- Peers are investing heavily in similar availability-focused logistics networks
Physical Network Density
Supply
Physical Network Density
Strength: 4/5 · Durability: durable · Confidence: 4/5 · 1 evidence
Large U.S. store footprint enables convenience and rapid pickup for urgent repairs.
Erosion risks
- Store traffic shift to online channels
- Rising rents/labor costs reduce store economics
Leading indicators
- Domestic store count (net adds)
- Domestic same-store sales
- Lease renewals and occupancy cost trends
Counterarguments
- Convenience advantage narrows as same-day delivery becomes standard
Service Field Network
Supply
Service Field Network
Strength: 3/5 · Durability: medium · Confidence: 4/5 · 1 evidence
Commercial program (delivery + credit) deepens relationships with repair shops and fleets.
Erosion risks
- Repair-shop consolidation shifts bargaining power
- Wholesale distributors or OEM channels bypass retail chains
Leading indicators
- Commercial sales mix (Domestic %)
- Delivery speed/coverage expansion
- Customer retention in commercial accounts (if disclosed)
Counterarguments
- Commercial customers can multi-source; switching costs are moderate
Operational Excellence
Supply
Operational Excellence
Strength: 3/5 · Durability: medium · Confidence: 3/5 · 1 evidence
Proprietary systems improve parts lookup and inventory visibility across nearby stores.
Erosion risks
- Software advantage erodes as vendors offer similar tools
- System outages/cyber incidents disrupt operations
Leading indicators
- Digital conversion and omnichannel adoption
- IT uptime/cyber incidents
- Employee productivity metrics (sales per labor hour)
Counterarguments
- Retail tech is widely available; competitors can match over time
Brand Trust
Demand
Brand Trust
Strength: 3/5 · Durability: medium · Confidence: 3/5 · 1 evidence
Brand and private labels (e.g., Duralast family) support perceived value and warranty trust.
Erosion risks
- Price transparency weakens brand premium
- Quality issues in private-label products damage trust
Leading indicators
- Private-label penetration (if disclosed)
- Warranty claims/returns trend (if disclosed)
- Brand sentiment/foot traffic trends
Counterarguments
- Price-driven shoppers may view parts as interchangeable across retailers
Negative Working Capital
Financial
Negative Working Capital
Strength: 3/5 · Durability: medium · Confidence: 4/5 · 1 evidence
Supplier terms create a cash conversion benefit (payables-to-inventory ratio > 100%).
Erosion risks
- Supplier financing terms tighten in stressed credit markets
- Regulatory/contract changes reduce payable days
Leading indicators
- Accounts payable to inventory ratio
- Days payable outstanding trend
- Credit rating changes
Counterarguments
- Large peers can negotiate similar vendor terms; advantage may be shared
International Auto Parts Retail & Commercial Distribution (Mexico & Brazil)
Automotive aftermarket replacement parts & accessories retail and commercial distribution
Revenue_share computed from FY2025 net sales outside the United States disclosed in the Form 10-K (Mexico + Brazil combined).
Distribution Control
Supply
Distribution Control
Strength: 3/5 · Durability: medium · Confidence: 4/5 · 1 evidence
International hub stores and local DCs support speed/assortment in Mexico and Brazil.
Erosion risks
- Local competitors expand store coverage
- FX volatility raises imported-part costs
Leading indicators
- International hub/mega hub count
- International same-store sales (reported)
- FX impact on sales/profit
Counterarguments
- Scale benefits can be smaller in earlier-stage markets with lower density
Physical Network Density
Supply
Physical Network Density
Strength: 3/5 · Durability: medium · Confidence: 4/5 · 1 evidence
Growing store base (Mexico and Brazil) improves proximity and supports local scale.
Erosion risks
- Execution risk in new markets
- Real estate and security challenges in certain regions
Leading indicators
- International store count (net adds)
- New store productivity
- Shrink and loss rates (if disclosed)
Counterarguments
- International markets can remain fragmented and price-competitive despite scale
Service Field Network
Supply
Service Field Network
Strength: 2/5 · Durability: medium · Confidence: 3/5 · 1 evidence
Commercial program exists in most international stores, supporting DIFM growth.
Erosion risks
- Credit losses in weaker macro environments
- Repair shops switch to wholesalers/OEM
Leading indicators
- International commercial penetration (store coverage)
- Bad debt expense trend (if disclosed)
- Delivery coverage expansion
Counterarguments
- Commercial relationships can be contested; switching costs are not prohibitive
Brand Trust
Demand
Brand Trust
Strength: 2/5 · Durability: medium · Confidence: 3/5 · 1 evidence
Brand and private-label strategy can translate, but trust is more market-specific.
Erosion risks
- Brand awareness lags local incumbents
- Quality perception varies by country
Leading indicators
- International same-store sales vs peers
- Customer satisfaction/NPS (if disclosed)
- Private-label adoption in international markets
Counterarguments
- Local competitors may have stronger cultural and sourcing advantages
Evidence
Describes hub/mega hub SKU depth, same-day access to hub inventory, and DC footprint (U.S. + international).
Risks & Indicators
Erosion risks
- Competitors replicate hub-and-spoke inventory models
- Last-mile delivery improvements by e-commerce
- Store traffic shift to online channels
- Rising rents/labor costs reduce store economics
- Repair-shop consolidation shifts bargaining power
- Wholesale distributors or OEM channels bypass retail chains
Leading indicators
- Hub and mega hub count
- Distribution center openings/closures
- In-stock and fill-rate metrics (if disclosed)
- Domestic store count (net adds)
- Domestic same-store sales
- Lease renewals and occupancy cost trends
Curation & Accuracy
This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.