Methods of Company Valuation

Valuation is the most foundational tool in investing — and the easiest to misuse. Aswath Damodaran has a line: “Every valuation is wrong; the question is how wrong, and in what direction.” This guide organizes valuation into a practical reference: the five families of methods (DCF, relative valuation, dividend discount, asset-based, sum-of-the-parts) + the actual workflow + special handling for startups + 15 classic pitfalls — graded by how operational each piece is. Read alongside the US Earnings Report Reading Guide and you’ll move from “reading a 10-K” to “putting a price on it.”

Framework — the five paths of valuation

“What is a company worth” has five fundamentally different answers, each corresponding to a class of valuation method. Understanding these five lenses matters more than memorizing any formula — because the same company can be valued 3× differently across them. That’s not a methodological error; it’s a difference of lens.

1. Discounted Cash Flow · DCF. “A company = all the free cash flow it will produce in the future, discounted back to today by risk.” Cleanest in theory, most assumption-laden in practice — get growth rate, discount rate, and terminal value all wrong, and the answer can be off by 10×. Suited to mature companies that produce stable FCF. e.g. Apple, Coca-Cola, Microsoft.
2. Relative Valuation · Multiples. “Peers / history trade at 15×, so this one should too.” P/E, EV/EBITDA, EV/Sales, P/B — simple and fast, but reliant on the assumption that the comp set is reasonable. When the whole market is expensive, every peer is expensive, and relative valuation amplifies that structural bias. The dominant approach across sell-side research.
3. Dividend Discount · DDM. “What shareholders actually take home is the dividend; a company = the present value of all future dividends.” Suited to utilities, banks, tobacco with stable payouts and minimal retention. Largely useless for tech and growth.
4. Asset-Based. “What’s left if you liquidate all assets and pay off debt.” NAV / Liquidation Value. Suited to real estate, shipping, financials, resources — these companies have “relatively real” book values. Asset-light tech companies’ books are essentially desks + software, so NAV is nearly meaningless.
5. Sum-of-the-Parts · SOTP. “Multi-business firm = each business valued separately + net cash − holding discount.” Alphabet = Search + YouTube + Cloud + Waymo + Other Bets + cash. The quality of segment disclosure dictates SOTP credibility.
6. Options / Real Options. “A company with an optional future project — to do or not do — itself has value.” Biotech pipelines, natural resource exploration rights, undeveloped land. Black-Scholes-derived; outperforms DCF in high-uncertainty projects with large optionality.

Bottom Line · Valuation is a range, not a point estimate.

A professional valuator uses 2-3 methods + sensitivity analysis and produces a range like “$90-$130,” not a precise “$104.73.” Precision is illusion; a reasonable range is truth. Be suspicious of any sell-side note that gives you “exactly one number” — it’s just anchoring.

DCF — three flavors of cash flow discounting

DCF is the “theoretical origin” of valuation — intrinsic value = future cash flows discounted to today. But there are three variants within the DCF framework, each requiring a different discount rate. Mixing them up is one of the most common DCF errors.

General form. Value = Σ CF_t / (1+r)^t + TV/(1+r)^n. Three flavors: FCFF → WACC → Enterprise Value · FCFE → Cost of Equity → Equity Value · Dividends → Cost of Equity → Equity Value. From EV to share price: Enterprise Value − Net Debt − Minority Interest + Non-operating Assets = Equity Value ÷ Diluted Shares = intrinsic share price.

FCFF (Free Cash Flow to Firm) — cash flow available to all capital providers (equity + debt). Calculation: FCFF = EBIT × (1 − Tax) + D&A − Capex − ΔNWC. Discounted by WACC, yields Enterprise Value. Recommended for beginners, since it isn’t disturbed by changes in capital structure.

FCFE (Free Cash Flow to Equity) — cash flow available only to equity holders. Calculation: FCFE = FCFF − Interest × (1 − Tax) − Net Debt Repaid. Discounted by cost of equity, yields equity value directly. Suited to companies with stable capital structures.

Three variables drive 90% of the result: ① Growth rate — how fast for the next 10 years? ② Discount rate (WACC) — what return should the risk of this company require? ③ Terminal value — what’s the perpetual value beyond year 10? The first two are covered in the “Discount Rate” section, the third in “Terminal Value.”

DCF · Key Terms

1. FCFF · Free Cash Flow to Firm. FCFF = EBIT × (1−T) + D&A − Capex − ΔNWC. Cash flow to the firm as a whole. Differs from OCF in adding back after-tax interest (i.e. not deducting debt service).
2. FCFE · Free Cash Flow to Equity. FCFE = FCFF − Interest × (1−T) − net debt repaid. Cash flow to equity. Directly maps to “distributable earnings to shareholders.”
3. NWC · Net Working Capital. NWC = AR + Inv − AP. Receivables + inventory − payables. Increasing NWC consumes cash and acts like incremental capex.
4. Reinvestment Rate. Reinv = (Capex + ΔNWC − D&A) / EBIT × (1−T). The share of operating cash reinvested to sustain growth. Combined with ROIC, it determines sustainable growth.
5. ROIC · Return on Invested Capital. ROIC = NOPAT / Invested Capital. Measures how much profit each dollar of capital generates. ROIC > WACC is the definition of value creation.
6. g · long-term growth rate. g = ROIC × Reinvestment Rate. The math ceiling on “sustainable growth.” Using a perpetual g above g_GDP would make TV infinite.

⚠ The most common DCF mistake · don’t treat EBITDA as cash flow.

“EBITDA × multiple = valuation” is the PE shop’s shortcut, but EBITDA is not cash flow — it hasn’t deducted capex, working capital, or taxes. A company with $1B of EBITDA but $800M of capex produces only ~$100M of FCF. Discount the real cash generation, not a near-cash-flow proxy.

Discount Rate — WACC and cost of equity

The discount rate is the most sensitive — and most often hand-waved — parameter in a DCF. A 1% change in WACC can move a 10-year DCF valuation by 20-30%. Below are the standard formulas and how to estimate each parameter in practice.

1. WACC · Weighted Average Cost of Capital. WACC = (E/V) × Ke + (D/V) × Kd × (1−T). Weighted average of equity and debt costs. E = equity market value, D = debt market value, V = total. T = marginal tax rate.
2. CAPM · Capital Asset Pricing Model. Ke = Rf + β × (Rm − Rf). Cost of equity = risk-free rate + beta × equity risk premium. The standard approach for estimating cost of equity.
3. Rf · risk-free rate. The 10-year Treasury yield is standard for US companies. Emerging markets add a Country Risk Premium (~+300 bps for Brazil). Examples: 2026-04 US 10Y ~ 4.2%.
4. β (Beta). A stock’s systematic risk relative to the market. 1.0 = moves with the market; >1 = more volatile; <1 = less. In practice, regress 2-5 years of weekly data. Examples: Apple β ~ 1.2; utilities ~ 0.6; biotech ~ 1.5.
5. ERP · Equity Risk Premium. The market’s excess return over the risk-free rate. Damodaran’s monthly implied ERP series is the industry benchmark. Long-term US 5-6%, developed Europe 5-7%, emerging markets 8-12%.
6. Kd · cost of debt. The average interest rate on a company’s existing debt OR the YTM of a newly issued bond. Don’t use coupon rates from a decade ago; use current-market-implied YTM.
7. Tax Shield. Interest is tax-deductible, so the effective cost of debt = Kd × (1−T). Marginal tax rate is typically 21-25% for US companies.
8. Capital Structure weights. Use market values, not book values. If cash > debt (Apple, Google), D/V may be 0 or negative (net debt negative, typically treated as 0).
9. Unlevered β. βu = βl / [1 + (1−T)(D/E)]. The “pure-business beta” stripped of capital structure. When comparing peers, you must unlever first, then re-lever at the target company’s capital structure.

Reference WACCs by sector

Source: Damodaran 2025 industry tables · rough estimates · in practice use the company’s own data.

Terminal Value — TV is 60-80% of valuation

In a 10-year DCF, terminal value (TV) typically accounts for 60-80% of total value. Which means — your assumption about “what happens in year 11+” matters several times more than your forecast of “next quarter.”

1. Gordon Growth · perpetual growth · GGM. TV = FCF_n+1 / (WACC − g). Assumes the company grows perpetually at g starting in year n+1. g is typically long-term nominal GDP growth (2-3%) and must not exceed it. When WACC and g are close, TV blows up, making it highly sensitive.
2. Exit Multiple. TV = EBITDA_n × Exit Multiple. Assumes the company is sold at the end of year n at the current peer EV/EBITDA multiple. More common in PE, but implicitly assumes “the multiple in 10 years equals today’s” — a strong assumption.

The two methods should cross-check each other — if the Exit Multiple implies an 8% growth rate while your Gordon g is 3%, the 5% gap needs an explanation.

Common errors: ① g > GDP — mathematically impossible forever; any company growing above GDP will eventually become the whole economy. ② Year 10 FCF spike — last-year FCF inflated to engineer a desired TV. By the end of the projection period, FCF should already be at steady state (ROIC ≈ WACC). ③ Capex = depreciation in perpetuity — capex must be ≥ D&A in perpetuity, or assets get fully depreciated away.

Damodaran’s golden rule: TV/Enterprise Value > 80% = warning; > 90% = rebuild the model. You’re really estimating “10 years from now,” not this company today.

⚠ TV sensitivity example · 1pt change in g shifts TV by 40%+.

• WACC = 9%, g = 2%: TV multiple = 1/(9%-2%) = 14.3× FCF
• WACC = 9%, g = 3%: TV multiple = 1/(9%-3%) = 16.7× FCF (+16%)
• WACC = 9%, g = 4%: TV multiple = 1/(9%-4%) = 20× FCF (+40%)
• WACC = 9%, g = 5%: TV multiple = 1/(9%-5%) = 25× FCF (+75%)

Always build a sensitivity matrix — a 3×3 of WACC 8%-10% × g 1%-3% — to show a range, not a single number.

Relative Valuation — using multiples correctly

Relative valuation is what 90% of sell-side notes use — simple, fast, intuitive. But “simple = easy to get wrong.” Below: the main multiples + when each applies + how to choose comps + common traps.

The main multiples

The three-step standard workflow for relative valuation

1. Pick the right comps. “Same industry” isn’t enough. Comps should match on business model + scale + growth + geography + profitability stage. Shopify’s comp set is BigCommerce, not Amazon; Tesla’s is BYD + Rivian, not Toyota.
2. Adjust to comparable basis. Different companies’ “EBITDA” can differ by 30% (SBC added back? Leases? One-time items excluded?). Use adjusted figures from a single source (Damodaran / CapIQ / Bloomberg), or recompute uniformly yourself.
3. Use the median, not the mean. A couple of outliers distort the mean. The median is more stable. Better still, use the 25-75 percentile range rather than a single point.
4. Add a “market premium / discount.” If peers trade at 15× and your target grows 20% faster → 18× may be justified; if it grows slower → 12×. Quantify the difference via PEG or “growth and margin adjustments”, don’t just slap on ”+/- 10%.”
5. Compare against the company’s own history. Beyond peers, compare against the company’s historical median. The z-score of today’s P/E vs. the past 5-year median is an objective signal of cheap / expensive.
6. Cross-validate across multiples. P/E alone can be distorted by one-time items. Look at P/E + EV/EBITDA + P/S + FCF Yield together — all pointing the same way = reliable; conflicting = dig deeper.

Dividend Discount — DDM / Gordon / H-Model

Dividend discount is the “original DCF” — John Burr Williams proposed it in The Theory of Investment Value in 1938. Core logic: what shareholders really get is dividends, so a company is worth the present value of all future dividends.

1. GGM · Gordon Growth Model. P = D_1 / (r − g). First-order approximation under “dividends grow perpetually at g.” The simplest, most classic. Suited to mature dividend-payers. But r-g denominator is extremely sensitive to error.
2. Two-Stage DDM. First a high-growth stage, then perpetual. Real companies don’t jump straight to perpetuity. First 5-10 years at high g1, then perpetual g2. Suited to newer dividend-payers (tech companies entering their dividend era).
3. H-Model. P = D_0(1+g_L)/(r−g_L) + D_0×H×(g_H−g_L)/(r−g_L). Closed-form solution for growth transitioning linearly from g_H to g_L (H = half of the transition period). More realistic than two-stage.
4. Payout Ratio. Payout = Dividend / EPS. Share of earnings paid out. Utilities 60-80%, banks 40-50%, growth tech 0-20%.
5. Sustainable Growth. g = ROE × (1 − Payout). The math constraint of reinvested earnings. g cannot exceed ROE × retention ratio without external financing.
6. Yield + Growth. Total Return ≈ D/P + g. Approximate decomposition of long-term shareholder return. Most blue chips = 2-3% yield + 5-7% earnings growth = 7-10%.

When to use DDM · Payout > 50%, with stable history >10 years.

• Fits: utilities, telecom, tobacco, consumer staples, banks, mature insurers, REITs
• Doesn’t fit: tech growth, biotech, cyclicals, startups, non-payers
• Alternative: for non-payers, use FCF-based DCF (treat FCF as “distributable but undistributed dividends”)

Asset-Based Valuation — NAV · liquidation · replacement

When a company’s value lies primarily in the assets it owns (rather than future cash flows), asset-based valuation is the most direct approach. Typical scenarios: real estate, shipping, resource extraction, certain financial holdings.

1. NAV · Net Asset Value. NAV = Σ fair value of assets − liabilities. “If we sold all assets at fair value today.” REITs, PE funds, holding companies use this. Note fair value ≠ book value — real estate by cap rate, securities by mark-to-market.
2. Liquidation Value. Price under “forced sale.” Typically 20-50% below NAV (distress discount). The absolute floor on valuation. Benjamin Graham’s “cigar butt” strategy: find junk companies trading below liquidation value.
3. Replacement Cost. “How much to rebuild a company like this from scratch.” Tobin’s Q = Market Cap / Replacement Cost. Q < 1 = acquisition is cheaper than building new, M&A opportunity.
4. Book Value. Stockholders’ equity on the balance sheet. Directly meaningful only for “assets = business” companies — banks / insurers / REITs — and nearly useless for tech / consumer.
5. Tangible Book. TBV = Book Value − Goodwill − Intangibles. Strips out goodwill for a “true book value.” Core for bank valuation; historically, P/TBV < 1 is cheap.
6. EPV · Earnings Power Value. EPV = Normalized NOPAT / WACC. Popularized by Bruce Greenwald, “how much value the existing business produces assuming no growth.” EPV > NAV = growth value present; EPV < NAV = assets idle.
7. Hidden Assets. Items materially understated on books: historical-cost land / property, equity holdings in other companies, unused NOLs. Japanese companies have historically held lots of hidden assets, attracting activist attention.
8. DCF of Assets. For natural resource companies (oil, mining), discount each barrel / ton of reserves at current price − extraction cost. Standard for oil major NAV valuation.
9. P/NAV. Standard metric for REITs, holdings, and resources. REIT historical mean 0.9-1.1×; mining stocks 1.5-2× in bull markets, 0.5-0.7× in bear markets.

Sum-of-the-Parts — SOTP · for multi-business firms

When a company has multiple business lines with different growth and valuation logic, forcing a single multiple across the whole would “average out” the differences. SOTP (Sum-of-the-Parts) values each business separately, then sums and adjusts.

Standard workflow

1. Disaggregate financials by segment — using the 10-K segment reporting (revenue / operating profit / assets by segment)
2. Choose an appropriate valuation method per business — mature cash-flow businesses use DCF or EV/EBITDA; high-growth uses EV/Sales; early-stage uses comparable IPO pricing
3. Sum the Enterprise Values across businesses
4. Add non-operating assets — cash on balance sheet, AFS securities, land bank, investment holdings (e.g. Tencent’s stakes in Meituan / JD)
5. Subtract debt + minority interest + restricted items
6. Apply holding / non-controlling discount — typically a 10-20% “holding discount” (because the market won’t credit “every business at its peak multiple”)

Example: hypothetical Alphabet SOTP

When to use SOTP · multi-business + significant segment differences + potential spin-off value.

• Internet conglomerates: Alphabet / Meta / Amazon / Alibaba / Tencent — core + cloud + ads + investments
• Traditional conglomerates: GE / Siemens / Honeywell / Berkshire — multiple business lines
• Media / telecom: Disney / Comcast / Verizon — content + distribution + infrastructure
• Holding companies: Berkshire / Softbank / Alibaba — dominated by stake structure

Startup Valuation — VC / early stage / unicorns

DCF is largely meaningless for early-stage companies — no stable cash flow, no comparable peers, growth itself is conjecture. The VC industry has developed a completely different valuation toolkit, whose core idea is “back out from exit value + discount for risk.”

1. VC Method. ① Assume exit revenue × exit multiple = Exit Value · ② Exit Value / target return multiple = pre-money valuation. The VC favorite. Expected exit in 5 years × 20× return → back out today’s pre-money. All assumptions live in “exit-year revenue” and “target multiple.”
2. Berkus Method. Common pre-seed. Score 5 factors at $0-500K each: ① sound idea ② prototype ③ quality team ④ strategic relationships ⑤ product rollout or sales. Caps at $2.5M valuation, suited to pre-revenue.
3. Scorecard. Reference the median valuation of recent same-stage, same-region seed deals, then mark up / down on 5-6 dimensions (team, market, product, competition, capital need). Popularized by Bill Payne.
4. RFS · Risk Factor Summation. Apply ±$500K adjustments across 12 risk factors (management, stage, legislation, manufacturing, marketing, funding, competition, technology, litigation, international, reputation, exit) to an “industry baseline valuation.” Proposed by Ohio TechAngels.
5. Comparables. Look up PitchBook / CB Insights / Crunchbase for recent same-stage, same-vertical valuation medians. AI sector premium has been 3-5× over 2023-2025.
6. First Chicago. Probability-weighted scenarios (success / survival / failure). Typical: Success 40% × $500M + Survival 30% × $50M + Failure 30% × $0 = $215M. A realistic approach that accounts for startup failure rates.
7. Pre / Post Money. Post-Money = Pre-Money + Investment. “Pre-money $20M, raise $5M” → post-money $25M, with new investor at 20%. Every financing announcement should be checked against pre- or post-money basis.
8. SAFE / Convertible. Popularized by Y Combinator as the Simple Agreement for Future Equity. A “valuation cap + discount” mechanism that defers pricing, convenient for early stage. Converts to equity at the cap or discount in the next round.
9. Unicorn Discount. Stanford research: announced unicorn valuations are on average inflated 50% (because they extrapolate the latest preferred round linearly and ignore liquidation preferences). “Headline valuation” and “real valuation” diverge meaningfully.

Practical Workflow — from 10-K to a price range

Putting theory to work: how do you take a 10-K and produce a credible valuation range in 4-8 hours? A standard workflow follows.

Hours 1-2 · Foundation

• Read 10-K Business Section + MD&A + Risk Factors (1 hour)
• Extract 3 years + latest quarter financials (Rev / Gross / OpInc / FCF)
• Identify core segments / product lines + their economic characteristics
• Assess business-model maturity (growth / steady / decline)
• List 3-5 comparable peers

Hours 3-4 · Modeling

• Project 5-10 years of revenue (by segment or by total-line driver)
• Project gross margin path (converging toward peer / own historical median)
• Project operating margin (changes in OpEx share)
• Compute FCF (NOPAT + D&A − Capex − ΔNWC)
• Estimate WACC (CAPM + current capital structure)
• Pick terminal value method (Gordon or Exit Multiple)

Hours 5-6 · Cross-validation

• Independently value via relative multiples (P/E, EV/EBITDA, EV/Sales)
• Compare to peer median + own historical range
• If DCF vs. multiples diverge > 20%, explain why
• Sensitivity matrix: WACC ±1% × g ±1%
• Draw the valuation range (bear / base / bull)
• Map the current share price’s position in the range

Hours 7-8 · Documentation + Verdict

• Write a one-page “key assumptions” summary (3 most sensitive variables)
• List items to “watch” (what to look for next earnings)
• Issue a Buy / Hold / Sell verdict + trigger conditions
• Define “how I’ll know I was wrong” signals (bearish catalysts)
• Size the position based on f(valuation discount, conviction, portfolio correlation)
• Archive: revisit in 6 months to track assumption-vs.-reality gap

Common Pitfalls — 15 classic errors

1. Terminal value share > 85%. You’re really estimating “forever after,” not this company. Either extend the projection period to steady state or lower the perpetual g.
2. Perpetual growth rate > nominal GDP. No company can grow above the broader economy forever. Cap g at 3% (US long-term nominal GDP ~4%).
3. Extrapolating growth-stage rates for 10 years. “30% CAGR for the past 5, keep at 30% for the next 10” → absurd valuation. All companies decay; the S-curve is the rule.
4. Capex below D&A in perpetuity. “Assets wearing out without reinvestment.” In perpetuity, capex ≥ D&A.
5. Treating SBC as costless. Equity comp burns no cash but dilutes shareholders — a real cost. Don’t add back SBC when valuing via FCF, or include the dilution in share count.
6. Cherry-picked comps. Tesla vs. Toyota? vs. NIO? vs. Amazon? Comp choice drives the answer. Comp selection must be defensible.
7. Ignoring one-time items. TTM Net Income includes $10B of one-time tax refund, but extrapolating it perpetually = massive overestimation. Use normalized / adjusted figures.
8. WACC pulled out of a hat. “Tech is roughly 10%” — but the right number must come from CAPM. Every 1% in WACC moves DCF by 20-30%.
9. Using book values for capital weights. E/V and D/V in WACC are market weights, not book. Use current market values × share count.
10. One WACC across stages. Early-stage high-risk deserves a higher discount; steady state a normal one. Using one WACC throughout underweights early-stage risk.
11. Calculating EV incorrectly in EV/EBITDA. EV = Market Cap + Net Debt + Minority − Associates. Using total debt or forgetting minority interest are common mistakes.
12. Ignoring lease obligations. Post-ASC 842, long-term operating leases are on-balance-sheet. Include operating lease liability in net debt when calculating EV, or you’ll materially understate EV for retail / airlines.
13. Circular Exit Multiple reasoning. Use “industry historical multiple” to set Exit Multiple → then use it to “prove” the company is worth that multiple. Must cross-check against Gordon.
14. “Precise to the cent.” “Fair value = $127.83” is absurd. The right output is “$100-$145, midpoint $120.” Precision is illusion.
15. Reverse-engineering to a price target. The sell-side’s original sin: start with a “$300 target,” then back into the assumptions. Model first, judgment second — doing it backwards makes valuation magic.

References — valuation gurus · private market data

• Aswath Damodaran (NYU Stern) — the de facto academic + practitioner standard for valuation; his website hosts industry WACCs and risk premium datasets. pages.stern.nyu.edu/~adamodar
• PitchBook — private market deals, multiples, and exit data. pitchbook.com
• CB Insights — venture and corporate strategy database. cbinsights.com
• Crunchbase — startup financing and valuation quick lookup. crunchbase.com
• Y Combinator — the de facto source for early-stage valuation conventions (SAFE / valuation cap). ycombinator.com