★ WIDE MOAT STOCKS & COMPETITIVE ADVANTAGES ★
VOL. XCIV, NO. 247
Stock Profile
Amazon.com, Inc. (AMZN) Moat Analysis
Amazon.com, Inc.
AMZN · NASDAQ
Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.
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Overview
Amazon combines commerce, AWS and advertising. Q2 2026 revenue was $200.606B: Stores generated $136.736B (68.1615%), AWS $42.232B (21.0522%), Advertising $19.809B (9.8746%) and Other $1.829B (0.9117%). AWS produced $16.621B, or 60.5258%, of $27.461B consolidated operating income. This audit retains six non-overlapping moat instances: AWS infrastructure scale and long-term customer commitments; the Stores marketplace, fulfillment density and Prime bundle; and Advertising control of high-intent inventory. It removes AWS service breadth without attach economics, commerce habit as an outcome already explained by the three Stores mechanisms, non-isolated consolidated working capital, and an advertising data-network claim without a demonstrated feedback loop. Q2 evidence is unusually strong for AWS: property and equipment reached $263.75B, H1 net additions reached $90.12B, revenue grew 37%, segment margin was 39.4%, and primarily AWS performance obligations reached approximately $496B with a 6.4-year weighted-average life. Heavy investment also pushed trailing free cash flow to negative $7.6B. The stored 17.44% TTM net margin is not comparable to operating margin because Q2 included $53.396B of non-operating income, largely related to observable-value changes in major private AI investments. As of July 22, 2026, Amazon had exactly 10,786,313,572 common shares outstanding; another 244.4M restricted stock units were outstanding at June 30 but are not current common shares. AMZN common stock is directly listed only on Nasdaq and is not an ADR. CIK 0001018724, ISIN US0231351067 and CUSIP 023135106 remain consistent. GLEIF records LEI ZXTILKJKG63JELOEG630 as entity-active and issued, with renewal due November 7, 2026. Principal risks are hyperscaler investment and price competition, power and accelerator constraints, concentrated AI commitments, negative free cash flow, marketplace and antitrust regulation, seller and shopper multi-homing, logistics costs, content expense, ad incrementality, private-investment valuation volatility, Globalstar integration and dilution, and emerging AI shopping interfaces.
Primary segment
Amazon Stores (Retail, Marketplace and Prime)
Market structure
Oligopoly
Market share
39%-40% (estimated)
HHI: —
Coverage
4 segments · 7 tags
Updated 2026-08-09
Segments
Amazon Web Services (AWS)
Cloud infrastructure and platform services
Revenue
21.1%
Structure
Oligopoly
Pricing
moderate
Share
27%-29% (estimated)
Peers
Amazon Stores (Retail, Marketplace and Prime)
Online and physical retail, third-party marketplace, fulfillment and membership commerce
Revenue
68.2%
Structure
Oligopoly
Pricing
moderate
Share
39%-40% (estimated)
Peers
Advertising Services (Amazon Ads and Retail Media)
Retail media and digital advertising
Revenue
9.9%
Structure
Oligopoly
Pricing
strong
Share
79%-80% (estimated)
Peers
Other Services and Adjacencies
Shipping, healthcare, content licensing and distribution, credit-card agreements and other offerings
Revenue
0.9%
Structure
Competitive
Pricing
weak
Share
—
Peers
—
Moat Claims
Amazon Web Services (AWS)
Cloud infrastructure and platform services
Q2 2026 AWS revenue was exactly $42.232B of $200.606B consolidated sales, or 21.0522%. AWS operating income was $16.621B of $27.461B consolidated operating income, or 60.5258%. The prior scope-economies moat is removed because a broad service catalog without attach, retention or unit-cost evidence overlaps the scale and contractual mechanisms already scored.
Capex Knowhow Scale
Supply
Capex Knowhow Scale
Strength
Durability
Confidence
Evidence
AWS combines a very large deployed infrastructure base with data-center, networking, custom-chip and service-operating know-how. Q2 scale is observable in $263.75B of AWS property and equipment, $48.6B of quarterly net additions, 37% sales growth and a 39.4% segment operating margin. Only Microsoft and Google can plausibly fund comparable global expansion, while power, chips and construction still constrain Amazon itself.
Capex Knowhow Scale moat: definition, examples, and stocks
Erosion risks
- Microsoft and Google sustain comparable infrastructure investment
- Power, land, networking, memory and accelerator shortages constrain capacity
- AI hardware and model economics change faster than asset lives
Leading indicators
- AWS revenue growth and operating margin
- AWS property-and-equipment additions and utilization
- Custom-chip adoption and accelerator capacity
Counterarguments
- Azure and Google Cloud possess comparable parent-company funding and technical talent
- Open-source layers and portable data formats reduce differentiation above raw infrastructure
Long Term Contracts
Demand
Long Term Contracts
Strength
Durability
Confidence
Evidence
Long-duration customer commitments provide exceptional demand visibility and economically encourage customers to place future workloads on AWS. Commitments do not prevent customers from running incremental workloads elsewhere and may concentrate capacity and pricing risk in a few AI counterparties.
Long Term Contracts moat: definition, examples, and stocks
Erosion risks
- Renegotiation or default by concentrated AI customers
- Committed discounts limit future margin and pricing flexibility
- Customer workloads under-consume contracted capacity
Leading indicators
- Long-term performance obligations and weighted-average life
- Revenue conversion from committed contracts
- Customer concentration and credit exposure
Counterarguments
- Large commitments may reflect discounted capacity procurement rather than unilateral AWS pricing power
- Azure and Google also sign multi-year cloud and AI contracts
Amazon Stores (Retail, Marketplace and Prime)
Online and physical retail, third-party marketplace, fulfillment and membership commerce
Q2 2026 Stores revenue was exactly $136.736B of $200.606B consolidated sales, or 68.1615%: Online Stores $70.432B, Physical Stores $5.794B, Third-Party Seller Services $46.780B and Subscription Services $13.730B. This is an analytical grouping, not an Amazon reportable segment, so no operating-profit share is imputed. Habit is treated as an outcome of selection, fulfillment and Prime rather than a fourth moat; consolidated working-capital balances are not isolated to Stores and are also influenced by AWS and advertising, so the prior negative-working-capital moat is removed.
Two Sided Network
Network
Two Sided Network
Strength
Durability
Confidence
Evidence
A large buyer audience attracts third-party selection, and more selection improves buyer utility. The rating is below maximum because Amazon does not disclose current active buyers or sellers, merchants multi-home, Amazon competes with sellers through first-party retail and social-commerce discovery is growing.
Two Sided Network moat: definition, examples, and stocks
Erosion risks
- Seller and buyer multi-homing
- TikTok Shop and other discovery-led commerce divert demand
- Rules restricting self-preferencing, seller terms or use of seller data
Leading indicators
- Third-party seller-services growth and unit mix
- Active buyer and seller counts if disclosed
- Selection growth and merchant churn
Counterarguments
- Merchants can sell through Walmart, Shopify, TikTok and direct channels
- Amazon first-party retail can weaken trust among third-party merchants
Physical Network Density
Supply
Physical Network Density
Strength
Durability
Confidence
Evidence
Amazon-operated fulfillment and delivery capacity shortens delivery promises and spreads fixed assets across first-party retail, marketplace fulfillment and newer supply-chain services. The network is costly to reproduce nationally, although Walmart has a denser U.S. store base and Amazon still invests heavily to extend speed.
Physical Network Density moat: definition, examples, and stocks
Erosion risks
- Labor, transportation, energy and real-estate inflation
- Walmart and regional platforms improve same-day coverage
- Underutilization after demand or inventory misses
Leading indicators
- Delivery speed and geographic coverage
- Fulfillment cost and units per package
- North America and International property additions
Counterarguments
- Walmart can fulfill from a uniquely dense store footprint
- Third-party carriers and distributed inventory software lower entry barriers in selected metros
Suite Bundling
Demand
Suite Bundling
Strength
Durability
Confidence
Evidence
Prime combines shipping, video, live sports and other benefits in one prepaid membership, broadening reasons to renew and shop. Amazon does not disclose current member count, renewal, purchase-frequency lift or allocation of subscription revenue, so the evidence supports a moderate bundle rather than a strong standalone lock-in score.
Suite Bundling moat: definition, examples, and stocks
Erosion risks
- Membership price rises faster than perceived value
- Content and sports-rights costs outpace engagement
- Walmart+ and specialist streaming substitutes improve
Leading indicators
- Prime members and renewal rate if disclosed
- Subscription-services revenue growth
- Orders and spending per Prime member
Counterarguments
- Shipping and streaming each have credible substitutes
- The broad subscription-sales line prevents isolation of Prime economics
Advertising Services (Amazon Ads and Retail Media)
Retail media and digital advertising
Q2 2026 Advertising Services revenue was exactly $19.809B of $200.606B consolidated sales, or 9.8746%, up 26% excluding foreign exchange. This is a net-sales category rather than a reportable segment, so no profit share is imputed. First-party shopper and transaction data improve targeting and measurement, but no feedback-loop evidence shows that more advertisers improve the underlying data or user utility; the prior data-network-effect score is therefore removed rather than double-counted with controlled inventory.
Distribution Control
Supply
Distribution Control
Strength
Durability
Confidence
Evidence
Amazon controls sponsored placements at or near purchase across a marketplace forecast to represent 39.7% of U.S. ecommerce. This inventory and closed-loop transaction measurement are unavailable off-platform, although advertisers multi-home and rising ad load or weak incrementality can reduce returns.
Distribution Control moat: definition, examples, and stocks
Erosion risks
- Regulation limits self-preferencing, targeting or transaction-data use
- Advertisers demand independent incrementality measurement
- Walmart and other retailers scale competing networks
Leading indicators
- Advertising revenue growth
- U.S. retail-media spending share
- Ad load, auction pricing and advertiser return on ad spend
Counterarguments
- Brands can reallocate budgets to Google, Meta, Walmart, TikTok and connected TV
- Amazon controls attribution and advertisers may discount reported returns
Other Services and Adjacencies
Shipping, healthcare, content licensing and distribution, credit-card agreements and other offerings
Q2 2026 Other revenue was exactly $1.829B of $200.606B consolidated sales, or 0.9117%, up 23% excluding foreign exchange. The heterogeneous category is not assigned inherited Amazon platform moats without offering-specific retention, share or unit-economics evidence.
Evidence
AWS $190,055 ... $263,750
AWS property and equipment increased from $190.055B at year-end 2025 to $263.750B at June 30, while H1 net additions were $90.120B.
the majority of which is to support AWS business growth
Q2 cash capital expenditures were $53.1B and H1 expenditures were $96.3B, primarily technology infrastructure supporting AWS plus fulfillment capacity.
AWS segment sales increased 37% year-over-year to $42.2 billion
AWS produced $16.621B of Q2 operating income at a 39.4% segment margin while expanding infrastructure rapidly.
approximately $496 billion ... weighted-average remaining life ... 6.4 years
Amazon says these unrecognized performance obligations are primarily AWS commitments in contracts with original terms longer than one year.
Anthropic and OpenAI, making multi-year, multi-gigawatt commitments
The release identifies large current AI-capacity commitments, while the customer concentration and required buildout are important counterweights.
Showing 5 of 17 sources.
Risks & Indicators
Erosion risks
- Microsoft and Google sustain comparable infrastructure investment
- Power, land, networking, memory and accelerator shortages constrain capacity
- AI hardware and model economics change faster than asset lives
- Customer optimization and multi-cloud architecture weaken utilization
- Sovereignty and competition rules require regional alternatives
- Renegotiation or default by concentrated AI customers
Leading indicators
- AWS revenue growth and operating margin
- AWS property-and-equipment additions and utilization
- Custom-chip adoption and accelerator capacity
- Cash capital expenditures and free cash flow
- Long-term performance obligations and weighted-average life
- Revenue conversion from committed contracts
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