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🐂 AMZN — Company Profile (Teaching)

Teaching site, not investment advice. Specific market cap / stock price / financial figures change frequently and are intentionally omitted; use the SEC + Yahoo Finance links below to pull real-time data yourself.

📌 Basics

Dimension Content Source
Core business AWS cloud + North America / International e-commerce + advertising + Prime subscription + Kindle / Alexa / Ring devices 10-K FY25
Founded / HQ 1994 / Seattle, Washington, USA wiki
CEO Andy Jassy (since 2021/07, succeeded Bezos; former AWS CEO) DEF 14A
Primary listing NASDAQ: AMZN
Fiscal year Calendar year (Jan 1 – Dec 31) SEC EDGAR

💡 Real-time market cap / share price / AWS growth / ad revenue: see SEC primary + IR links below.

🏭 Supply Chain Coordinates (Part 1-C6 framework)

Upstream (Who AMZN Depends On)

Supplier What flows Key dependency
NVDA AI training / inference GPUs (AWS mainstay H100/H200/Blackwell capacity) #4 hyperscaler customer
AMD MI300/MI350 GPUs (secondary, offered for rent on AWS) Diversifies risk
MRVL Trainium / Inferentia in-house ASIC IP partnership Critical lock-in
TSM Trainium / Graviton ARM CPU / Inferentia foundry Only option
ANTH Model IP (AMZN $8B already invested + $5B in 2026/04 = $13B invested + up to $20B future (cap $33B); Anthropic committed >$100B over 10 years to AWS + 5GW Trainium/Graviton capacity) Strategic partner
Logistics / warehousing / delivery fleet + sellers E-commerce operations Highly diversified

Downstream (Who Depends on AMZN)

Customer Relationship Concentration
Global AWS enterprises + startups #1 public cloud Highly diversified (but ANTH is a mega-deal via Trainium commitment)
Global e-commerce buyers Prime > 200M members Highly diversified
Third-party sellers (3P) Marketplace + FBA + ads Highly diversified
Advertisers #3 digital ad platform (after GOOGL + META) Not concentrated

Competitors

  • Cloud: MSFT Azure (#2 share) / GOOGL GCP / ORCL OCI
  • AI models: AMZN promotes Anthropic Claude / Bedrock multi-model — 2026/04/28 announcement: OpenAI models / Codex / Managed Agents added to Bedrock (limited preview), in sync with MSFT Azure exclusivity ending
  • E-commerce: BABA Taobao / WMT / SHOP / TGT / MELI (LatAm) / JD (China)
  • Streaming: NFLX / DIS+ / MAX / Apple TV+
  • Devices: AAPL HomePod / GOOG Nest

💼 Business Model + Value Capture (Part 1-C7 view)

  • Revenue mix: North America e-commerce ~58% / International e-commerce ~21% / AWS ~17% (but 60%+ of operating profit comes from AWS)
  • Gross margin: ~47% overall; AWS GM 60%+; e-commerce near break-even
  • Pricing power: AWS engaged in price war with Azure / GCP (medium); Prime $139/yr inelastic — AWS strong / e-commerce weak
  • Substitution difficulty: AWS extremely high (enterprise data + IAM + S3 lock-in for 30 years) / e-commerce high (Prime logistics + seller ecosystem two-sided)

(For specific quarterly revenue / AWS growth / ad revenue, see the latest SEC 10-Q.)

🏰 Moat Assessment (Part 3-C2 Buffett 5-step lens)

Type Strength (0-1) Source
Brand 0.9 Global e-commerce default + AWS is the IT industry default
Switching cost 1.0 AWS S3/IAM/Lambda lock enterprise data for 30 years; Prime logistics locks in consumer habit
Network effects 0.8 Marketplace seller-buyer two-sided; AWS developer ecosystem; Prime Video + logistics + shopping bundle
Scale + cost 0.9 Global fulfillment network + AWS 200+ services + in-house Trainium / Graviton

Composite: 3.6 / 4 → extremely strong moat, AWS + e-commerce dual engines

⚠️ Key Reverse-Trigger Conditions (Part 3-C5 anti-thesis view)

  • Trigger 1 (quarterly): AWS growth < 15% YoY for 2 consecutive quarters (vs. 25%+ historical)
  • Trigger 2 (quarterly): Anthropic model quality falls significantly behind OpenAI / Google — Bedrock traffic shrinks
  • Trigger 3 (event): FTC antitrust suit ruling forces AWS/e-commerce breakup (2023/09 case in progress)
  • Trigger 4 (annual): Operating margin compresses — heavy AI capex but slow AWS AI revenue growth
  • Trigger 5 (low probability): Prime membership growth stalls + churn rises — logistics flywheel breakdown signal

🔗 Teaching Cross-References

📚 SEC Primary Filings (look it up yourself)

Real-time quote: Yahoo Finance AMZN


Teaching use · numbers change — learn the method, not the specific figures · investment decisions are based on your own research + risk tolerance