Understand what a stock is actually worth. From intrinsic value foundations through DCF mechanics, company-type frameworks, and corporate strategy — the complete valuation curriculum.
Price and value are not the same thing.
Build the mental models every valuation framework rests on — before any math. Every concept from Damodaran Ch1–4 and McKinsey Ch1 and Ch4: intrinsic value, relative value, time value of money, risk and return.
The Little Book of Valuation by Aswath Damodaran + Valuation: Measuring and Managing (McKinsey)
Markets price assets every second. Intrinsic value changes far more slowly. Why the gap between the two is where every investing edge originates.
Intrinsic valuation asks what a business is worth on its own terms. Relative valuation asks what similar businesses trade for. Damodaran on when each is appropriate.
Damodaran's five principles: valuation is uncertain, simple often beats complex, the story drives the numbers, and your biases will corrupt your models if you let them.
A dollar today is worth more than a dollar tomorrow. Present value, future value, annuity formulas, and the perpetuity — the mathematical foundations of every DCF.
What investors demand for bearing risk. CAPM, beta as a measure of market sensitivity, and the equity risk premium — the single most debated input in all of finance.
Damodaran's financial balance sheet: assets-in-place vs. growth assets, debt vs. equity claims. Why accountants and valuators organize the same data differently.
The three variables that determine every business's intrinsic value. How changes in cash flow growth rates and discount rates interact to create massive valuation swings.
McKinsey's empirical case: companies that optimize for long-term value — not short-term EPS or stakeholder optics — produce better outcomes for all parties over time.
The long-run evidence from McKinsey: ROIC and growth explain the overwhelming majority of equity returns. Why short-term price action is noise but fundamentals are signal.
The most cited — and most misused — valuation multiple. What fundamentally drives P/E, why comparing raw P/Es across sectors is wrong, and Damodaran's case for median over mean.
Market cap prices the equity claim. Enterprise value prices the whole business. Why you can't use equity-based multiples with enterprise-value-based metrics.
Five multiples, five different perspectives on value. Which multiple applies to which business type, and the companion variables that explain why two companies trade at different multiples.
Buy at enough of a discount that even if your assumptions are slightly wrong, you still win. Graham's origin, Buffett's application, and how to build uncertainty ranges into a valuation.
Fourteen questions covering intrinsic vs. relative value, time value of money, risk and return, enterprise value, valuation multiples, and the margin of safety.
The full DCF machinery, applied.
Every McKinsey Part Two chapter (Ch5–12) plus Damodaran's 3M case. Build a complete DCF from scratch: FCFF/FCFE, WACC, terminal value, sensitivity analysis, multiples reconciliation, and the point where models become investment views.
Valuation: Measuring and Managing (McKinsey) + The Little Book of Valuation (Damodaran)
Three DCF variants — entity DCF, APV, and economic profit — and when each is the right tool. McKinsey on why they always produce the same answer when done correctly.
Free cash flow to the firm vs. free cash flow to equity: the difference matters for what discount rate you apply. How to calculate both from GAAP financials.
McKinsey's key insight: value is created only when ROIC exceeds the cost of capital. The key value driver formula — and why growth destroys value at low ROIC companies.
Before you can forecast, you need to understand what actually happened. How McKinsey reorganizes GAAP statements to separate operating performance from financing decisions.
Top-down and bottom-up revenue forecasting. How to anchor margin assumptions to historical performance and industry benchmarks without being overconfident.
How the balance sheet connects to the income statement forecasts. Working capital as a percentage of revenue, capex vs. depreciation, and the equity plug that makes everything balance.
Often more than 70% of a DCF comes from terminal value. Perpetuity growth vs. exit multiple — and why the choice of method matters less than the internal consistency of assumptions.
WACC from first principles: cost of equity via CAPM, after-tax cost of debt, market-value weights. The debt tax shield and why leverage changes the cost of capital.
How practitioners actually estimate WACC: beta from comparable companies, the equity risk premium debate, country risk premiums, and the five most common errors McKinsey sees.
The mechanics: discount FCFF to enterprise value, subtract net debt, divide by diluted shares. The model structure that makes errors visible before they corrupt the answer.
A single DCF output is almost certainly wrong. Sensitivity tables, scenario analysis, and Monte Carlo thinking: how to present a valuation as a range instead of a point.
Comparable company analysis in practice: how to select a peer group, why trading multiples and transaction multiples differ, and how to triangulate between them.
When your DCF says $80 and comps say $120, one of them is wrong — or the market has different expectations. Damodaran on how to investigate the gap productively.
Damodaran walks through a complete FCFF valuation of 3M using publicly available data. Every input justified, every assumption made explicit, final value compared to market price.
Fifteen questions: calculate FCFF from provided statements, estimate WACC from given inputs, build a one-period terminal value, and interpret a sensitivity table.
Different businesses demand different frameworks.
Every Damodaran company-type chapter (Ch5–11) and McKinsey's advanced chapters (Ch19–25). High-growth startups, mature compounders, turnarounds, distressed equity, financials, cyclicals, and intangible-heavy businesses.
The Little Book of Valuation (Damodaran) + Valuation: Measuring and Managing (McKinsey)
High-growth companies with no earnings: why DCF still works, how to anchor assumptions to a path-to-profitability, and when revenue multiples are more honest than a speculative DCF.
The Rule of 40 as a framework for SaaS and high-growth multiples: revenue growth plus profit margin must exceed 40%. How to use EV/Sales without overpaying for growth.
Mature companies with stable returns: why terminal value assumptions dominate, how to handle excess cash and non-operating assets, and the capital return signals that precede re-rating.
Distressed but not dead. The probability-weighted DCF: assign scenarios (recovery, restructuring, failure), attach probabilities, and discount each branch. Damodaran's discipline.
When debt exceeds asset value, equity is an out-of-the-money call option. The Merton model applied: why deeply distressed equity can still have positive value despite negative book equity.
Banks can't be valued with standard frameworks — debt is a raw material, not just financing. The DDM for banks, the P/Book vs. ROE relationship, and McKinsey's regulatory capital approach.
Earnings at the top of the cycle are not sustainable earnings. Mid-cycle normalization, commodity-price sensitivity, and EV-to-resource-base multiples for energy and materials.
GAAP expensing of R&D and marketing understates both assets and earnings. How to capitalize R&D to reconstruct invested capital — and estimate brand value from premium pricing.
Value each business segment separately, then sum them. Why conglomerates trade at a discount to SOTP — and what catalysts close the gap.
Option to defer investment, option to expand, option to abandon. How real options add value beyond static DCF — and when they're large enough to change an investment decision.
Valuing companies that earn in one currency and trade in another. How to handle country risk, currency risk, and the choice between adjusting cash flows vs. adjusting the discount rate.
Emerging market complications: unreliable financial data, political risk premiums, illiquidity discounts, and why the same business can be worth dramatically different amounts in different geographies.
Thirteen questions: apply the appropriate valuation framework to five different company types from provided descriptions and financial data.
How companies are managed to create — or destroy — value.
McKinsey Part Three and all five appendices. Value-based management in practice: performance measurement, capital allocation, M&A, divestitures, capital structure, and investor communications.
Valuation: Measuring and Managing the Value of Companies (McKinsey)
McKinsey's Ralph case: a CEO who discovers that one-third of his business units are destroying value. How to identify them, what to do, and why most boards never see this analysis.
ROIC and economic profit as the core performance metrics. How to tie them to operating decisions at the business-unit level — and why stock price is a lagging and noisy indicator.
McKinsey's Home Depot vs. Wal-Mart: same earnings growth, very different value creation. The company with lower reported earnings but higher ROIC can be the dramatically better investment.
Value driver trees break ROIC into its operating components — then link each component to a specific team's decisions. The organizational mechanism for value-based management.
The capital allocation hierarchy: reinvest if ROIC > cost of capital, acquire only at walk-away prices, return excess capital. Why most companies fail at step three.
McKinsey's evidence: the majority of acquisitions destroy shareholder value. The conditions under which M&A creates value — and the premium trap that eliminates the upside.
The walk-away price is the maximum you can pay and still create value. Synergy valuation, accretion/dilution analysis, and why EPS accretion is not value creation.
A business that's worth more to someone else should be sold. McKinsey's value gap framework: measuring the discount to identify divestiture candidates and the mechanism for closing it.
The trade-off between the tax shield from debt and the cost of financial distress. McKinsey's empirical approach: what the evidence says about optimal leverage across industries.
McKinsey's Consumerco case: moving from an AA to a BBB credit rating to capture the debt tax shield. The quantification of distress costs and the optimal capital structure decision.
What to tell the market about your strategy — and what not to. McKinsey's guidance policy evidence: companies that communicate ROIC and ROIC-to-cost-of-capital earn higher multiples.
The mathematical proof that DCF and economic profit always yield the same value. The key value driver formula derived from first principles — McKinsey Appendices A and B.
Adjusted Present Value and why it separates the unlevered business value from the tax shield. The Hamada equation, levering and unlevering beta, and the APV = DCF proof.
Fourteen applied questions: identify value-destroying units, build an M&A walk-away price, construct a capital allocation hierarchy, and evaluate a divestiture decision.