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AutoZone, Inc.

AZO · New York Stock Exchange

Market cap (USD)$52.2B
SectorConsumer
IndustrySpecialty Retail
CountryUS
Data as of
Moat score
59/ 100

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. At Q3 FY2026, it operated 6,766 U.S. stores, 933 in Mexico and 157 in Brazil; FY2025 geography mix was about 88% U.S. and 12% outside the United States. The core advantage is a dense store footprint paired with hub/mega-hub and distribution-center inventory that improves parts availability for DIY customers and professional repair shops. Private-label brands, proprietary systems and favorable supplier terms add support, while risks include price competition, e-commerce, peers upgrading supply chains, tariff/inflation pressure and longer-term vehicle-mix shifts.

Primary segment

U.S. Auto Parts Retail & Commercial Distribution

Market structure

Competitive

Market share

HHI:

Coverage

2 segments · 6 tags

Updated 2026-07-01

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

ORLYAAPGPCLKQ+1

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

MELIAMZNORLYAAP+1

Moat Claims

U.S. Auto Parts Retail & Commercial Distribution

U.S. automotive aftermarket replacement parts & accessories retail and commercial distribution

Revenue_share uses FY2025 U.S. net sales over total Auto Parts net sales, the latest geography net-sales disclosure. Operating_profit_share is omitted because AutoZone reports one operating segment and does not disclose geography-level operating income; Q3 FY2026 10-Q showed 6,766 U.S. stores and domestic same-store sales up 4.1%.

Competitive

Distribution Control

Supply

Strength

Strength 4 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 1 of 5

Hub/mega-hub and distribution-center network supports fast local parts availability.

Distribution Control moat: definition, examples, and stocks

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

Strength

Strength 4 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 1 of 5

Large U.S. store footprint enables convenience and rapid pickup for urgent repairs; AutoZone operated 6,766 U.S. stores at Q3 FY2026.

Physical Network Density moat: definition, examples, and stocks

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

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 1 of 5

Commercial program (delivery + credit) deepens relationships with repair shops and fleets; domestic commercial sales rose 10.4% in Q3 FY2026.

Service Field Network moat: definition, examples, and stocks

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

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 1 of 5

Proprietary systems improve parts lookup and inventory visibility across nearby stores.

Operational Excellence moat: definition, examples, and stocks

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

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 1 of 5

Brand and private labels (e.g., Duralast family) support perceived value and warranty trust.

Brand Trust moat: definition, examples, and stocks

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

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 1 of 5

Supplier terms create a cash conversion benefit (payables-to-inventory ratio > 100%).

Negative Working Capital moat: definition, examples, and stocks

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 uses FY2025 net sales outside the United States over total Auto Parts net sales, the latest geography net-sales disclosure. Operating_profit_share is omitted because AutoZone reports one operating segment and does not disclose geography-level operating income; Q3 FY2026 10-Q showed 933 Mexico stores, 157 Brazil stores and international same-store sales up 1.6% in constant currency.

Competitive

Distribution Control

Supply

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 1 of 5

International hub stores and local DCs support speed/assortment in Mexico and Brazil, where AutoZone operated 1,090 stores at Q3 FY2026.

Distribution Control moat: definition, examples, and stocks

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

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 1 of 5

Growing store base (Mexico and Brazil) improves proximity and supports local scale.

Physical Network Density moat: definition, examples, and stocks

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

Strength

Strength 2 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 1 of 5

Commercial program exists in most international stores, supporting DIFM growth.

Service Field Network moat: definition, examples, and stocks

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

Strength

Strength 2 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 1 of 5

Brand and private-label strategy can translate, but trust is more market-specific.

Brand Trust moat: definition, examples, and stocks

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

sec_filing

Describes hub/mega hub SKU depth, same-day access to hub inventory, and DC footprint (U.S. + international).

sec_filing

Discloses 6,766 U.S. stores, 933 Mexico stores and 157 Brazil stores at May 9, 2026.

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

Keep the research going

Created 2025-12-31
Updated 2026-07-01

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