Equity Research & Valuation
Financial Modeling (Excel)

Amazon.com — DCF Valuation & Segment Revenue Analysis

Built a full discounted cash flow model for Amazon.com, projecting free cash flows across its three business segments (AWS, Advertising, Retail), calibrating WACC from first principles, and computing an implied intrinsic value per share.

Amazon DCF Valuation Equity Research WACC Segment Analysis Free Cash Flow Intrinsic Value

Company

Amazon.com (AMZN)

Methodology

Segment DCF + WACC

Segments

AWS · Advertising · Retail

Output

Implied share price range

SkillsDCF ValuationSegment Revenue ModelingWACC DerivationCAPMFree Cash Flow ForecastingSensitivity AnalysisEquity Research

Project Overview

A comprehensive equity valuation of Amazon.com using a segment-based DCF model. The analysis separates Amazon's high-margin cloud business (AWS) from its advertising and retail segments to apply distinct growth and margin assumptions to each. WACC is derived from a CAPM-based cost of equity using Amazon's beta, market risk premium, and risk-free rate, combined with a cost of debt from its public bond yields. The model outputs an implied share price range with sensitivity analysis on terminal growth rate and WACC — the exact framework used in equity research coverage initiation reports.

📋Problem Statement

Amazon operates three structurally different businesses — a hyper-growth cloud platform (AWS), a high-margin advertising business, and a low-margin e-commerce/logistics operation — each warranting distinct growth trajectories and margin assumptions. A single-entity DCF obscures the true value drivers. The challenge: build a segment-level model that isolates each business's contribution and arrives at a defensible intrinsic value range.

🎯Analytical Approach

Decomposed Amazon's total revenue into three segments using publicly disclosed financials. Projected each segment's revenue growth independently (AWS: 20–25% near-term tapering; Advertising: 15–20%; Retail: 8–10%), applied segment-specific EBIT margin assumptions converging toward long-run steady states, and aggregated to a consolidated EBITDA and FCFF projection. Applied CAPM to derive cost of equity (risk-free rate + beta × ERP), blended with after-tax cost of debt to compute WACC. Terminal value computed using Gordon Growth Model.

💾Data Sources

Amazon annual reports (10-K): AWS, North America, and International segment disclosures. Market data: AMZN beta (5-year monthly vs. S&P 500), 10-year Treasury yield as risk-free rate, 5.5% Equity Risk Premium (Damodaran), Amazon bond yields for cost of debt, effective tax rate from historical filings.

🔧Quantitative Methods

Revenue projection: segment-level growth rate assumptions phased over 5-year explicit forecast period. EBIT margin ramp: AWS expanding to 30%+, retail improving gradually. FCFF = EBIT(1-t) + D&A − ΔWorking Capital − Capex. WACC: w_e × k_e + w_d × k_d × (1-t). Terminal Value: TV = FCFFₙ × (1+g) / (WACC−g). Enterprise Value = PV(explicit FCFFs) + PV(TV). Equity Value = EV − Net Debt. Sensitivity table: implied price across WACC (8%–12%) × terminal growth (2%–4%).

Key Results

Implied intrinsic value per share range derived from the sensitivity table, with mid-case assumptions yielding a defensible price target. AWS, despite representing ~17% of total revenue, accounts for 55–65% of total enterprise value — illustrating how segment-level analysis reveals hidden value embedded in Amazon's cloud business that a consolidated model would understate.

🧠Key Learnings

Conglomerate valuation requires segment decomposition — treating Amazon as a single entity distorts its value by blending AWS's 30%+ margins with retail's sub-5% margins. WACC sensitivity matters enormously for long-duration growth companies: a 1% change in discount rate moves Amazon's implied value by 15–20%. This project develops the analytical judgment required for equity research coverage of large-cap tech.

Tools & Technologies

ExcelFinancial ModelingEquity ValuationDCF Analysis