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P2A-C1 · Valuation Basics (DCF / Multiples / Margin of Safety)

Core One-Liner

Price is what you pay, value is what you get. Always demand a margin of safety. — Buffett

Universal Investment Model — Works for Any Industry

P2A-C1 (Part 2.A Chapter 1 of 5). After this chapter, you can calculate a fair value range for any company, not just look at PE.


1. The Problem: You Only Look at PE — A Big Trap

Retail investors look at stocks: - "NVDA PE 30x, not cheap" - "AMD PE 50x, too expensive" - "OAI primary valuation $300B, how do you value that?"

Why only looking at PE is wrong: - PE only looks at 1 year of earnings, not the future - PE assumes stable earnings (a cyclical stock at PE 8x is actually most expensive) - PE ignores cost of capital (AI companies with high capex have artificially flattering PE)

Valuation is not a single number, it's a range. Use ≥ 3 valuation methods for cross-validation.


2. The Solution: 3 Valuation Methods + Margin of Safety

Method What It Looks At Suitable For Limitation
DCF (Discounted Cash Flow) Future 10-year FCF + Terminal Value Stable cash flow companies (KO / JNJ) AI companies are unpredictable even 3 years out, not suitable
Multiples (PE / EV/Rev / P/B) Compare to history / peers / itself Most companies Doesn't give absolute fair value
Reverse DCF What growth assumption is implied by current price High-growth companies Requires reverse thinking

Cross-validate with 3 methods → Get a fair value range, not a single point.

Margin of Safety (created by Graham in 1934): Within the fair value range, you want a 20-30% buffer before buying (e.g., fair value $100, you buy at $70-80).


3. How It Works: Detailed Explanation of 3 Methods

3.1 DCF (Discounted Cash Flow)

Core Formula (simplified):

Value = Σ (Annual FCF / (1 + WACC)^Year) + Terminal Value

WACC = Weighted Average Cost of Capital (typically 8-12%)
Terminal Value = Final Year FCF × (1 + g) / (WACC - g), g = long-term growth rate (typically 2-3%)

Example (simplified): Assume a company has Year 1 FCF $10B, 5-year growth 15%, then stable 3%, WACC 10%:

Year FCF Present Value
1 $10B $9.1B
2 $11.5B $9.5B
3 $13.2B $9.9B
4 $15.2B $10.4B
5 $17.5B $10.9B
Terminal Value $17.5 × 1.03 / (0.10 - 0.03) = $257B $159B
Total Value $208B

If current market cap is $150B → DCF is 38% above price, ample margin of safety, buy candidate. If current is $300B → DCF is 30% below price, don't buy.

Limitations of DCF for AI Companies: - Future 10-year FCF is unpredictable (e.g., NVDA's GPU demand 5 years from now is unknown) - Wrong growth assumption → DCF is 100% wrong

Using DCF for mature companies like KO / JNJ is fine, but not reliable for AI companies.

3.2 Multiples

Common Multiples:

Multiple Formula How to Read
P/E (TTM) Stock Price / Last 12 Months EPS Compare to history / peers
fwd P/E Stock Price / Expected Next 12 Months EPS Key for growth stocks
PEG P/E / EPS Growth Rate (%) < 1 cheap, > 2 expensive
P/S Stock Price / Revenue Per Share For unprofitable companies
EV/Revenue (Market Cap + Net Debt) / Revenue SaaS / Neocloud
EV/EBITDA (Market Cap + Net Debt) / EBITDA Cross-industry comparable
P/B Stock Price / Book Value Per Share Financials / Cyclicals

How to Use:

Step What to Do
1 Find your company's fwd PE
2 Find fwd PE for 3-5 true peers (not sector ETF)
3 Find your company's 5-year historical fwd PE high / median / low
4 See where your company currently sits in the 5-year range percentile
5 Synthesize — high percentile + high peers = expensive, low percentile + low peers = cheap

Example: NVDA fwd PE 30-35x - 5-year range: 15-50x, currently at 70th percentile - Peers (AMD / AVGO) 25-30x — NVDA is 20-30% more expensive than peers - Judgment: Slightly expensive but growth (50%+) supports it. Buy on dips, don't chase.

3.3 Reverse DCF

Flip DCF: Don't calculate fair value, calculate "what growth is implied by the current price".

Example: NVDA currently $135, fwd PE 30x. What 5-year EPS growth is implied?

Simplified formula:

P/E_now = P/E_terminal × (1 + g)^5 / (1 + discount_rate)^5

Assume P/E_terminal = 15x (mature phase), discount = 10%
30 / 15 = (1 + g)^5 / 1.61
2 × 1.61 = (1 + g)^5
3.22 = (1 + g)^5
g = (3.22)^(1/5) - 1 ≈ 26% annual EPS growth (5 years)

Current $135 implies NVDA needs 26% annual EPS growth for 5 years. Do you think that's reasonable?

  • NVDA's past 3 years EPS YoY +100%+ → 26% is a conservative assumption
  • Reverse DCF shows the price isn't unreasonable, even with a 50% discount it's still OK

Reverse DCF is most useful for AI stocks: Because forward DCF has too many assumptions, reverse DCF simply asks "what is the market assuming", then you judge if that assumption is reasonable.


4. vs Retail Investor Approach

Dimension Retail Investor What You Can Change
Looks at 1 PE number Look at combined PE + PEG + EV/Rev ✓ 5 minutes for 3 multiples
Doesn't know fair value range Calculate DCF + Reverse DCF + Peers, range $X-Y ✓ 1 hour to complete
Doesn't demand margin of safety Wait for price 20-30% below range before buying ✓ Mental discipline

5. Try It: Do a 3-Method Valuation for Your Ticker

Task (~1 hr):

Method Your Stock Answer
fwd PE ___ x, 5-year range ___ - ___ x, currently at ___ percentile
Peer fwd PE (3-5 companies) , , ___
Reverse DCF Current price implies 5-year EPS growth ___ %
Combined fair value range $ - $
Margin of safety entry $___ (low end of range -20%)

Self-check (3 items checked → move to P2A-C2):

  • You can calculate reverse DCF for a company (using PE / growth assumptions)
  • You can list 3-5 true peers (not sector ETF)
  • You can give a fair value range instead of a single point

6. What's Next

Valuation is one mental model. Buffett / Munger / Graham have more — Mental Models are a latticework.

→ P2A-C2 · Mental Models — The core 5 models from the Big Three: Buffett / Munger / Graham.


7. Deep Dive (optional): Damodaran Model Public + AI Company DCF Challenges

Click to expand deep content

Aswath Damodaran (NYU): - Free model excel: pages.stern.nyu.edu/~adamodar/ - He does quarterly DCFs on popular AI stocks (NVDA / TSLA / META) - Recommended: 2024 NVDA valuation post (free on Substack)

AI Company DCF Challenges: 1. Unpredictable Capex paceNVDA capex grows $3-5B annually, what will it be in 5 years? 2. Customer concentrationNVDA's 4 hyperscalers account for 50%, one cut has massive impact 3. Margin sustainability — 75% gross margin isn't sustainable at 90% 4. Scaling laws assumptions — If a wall is hit, growth assumptions are upended

→ For AI companies, Reverse DCF is more useful than forward DCF — ask "what is the market assuming", not "what is the company worth".