Moatery

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How to Analyze Any Stock Using 6 Legendary Investors' Mental Models

2026-06-29 · Read on Substack →

A framework I use to avoid value traps and find real compounding machines


Every stock I analyze gets run through six mental models. Not one. Six.

The reason is simple: **no single investor is right all the time.** But when Buffett's moat framework, Li Lu's capital allocation lens, and Lynch's growth math all point to the same stock — that's when you pay attention.

Here's the framework.


1. The Buffett Lens: Moat + FCF

Ask:** Does this business have a durable competitive advantage? Can it raise prices without losing customers?

Metrics:**
- ROIC > 15% consistently
- Operating margins stable or expanding
- Pricing power (can they pass inflation to customers?)

A business with a wide moat can survive bad management. A business with no moat will fail even with great management.


2. The Li Lu Lens: Compounding + Capital Allocation

Ask:** Is management deploying capital intelligently? Are they buying back shares at undervalued prices?

Metrics:**
- Buyback yield (total buybacks ÷ market cap)
- Dividend + buyback combined yield
- Track record of value-creating M&A

Li Lu's Himalaya Partners holds Bank of America as 30%+ of portfolio. Not because banking is exciting — because BofA's management has been buying back 5-8% of shares annually at below-book value.

This is compounding at work.


3. The Peter Lynch Lens: P/E ÷ Growth

Ask:** Is the growth rate justified by the valuation?

Formula:** PEG Ratio = P/E ÷ Earnings Growth Rate

Rules of thumb:**
- PEG < 1.0: Potentially undervalued
- PEG 1.0-1.5: Fairly valued
- PEG > 2.0: Expensive

But Lynch also said: **"Know what you own, and know why you own it."** The PEG is a filter, not a verdict.


4. The Graham Lens: Margin of Safety

Ask:** What is the downside? If I'm wrong, how much do I lose?

Metrics:**
- Net Current Asset Value (NCAV) vs market cap
- Book value per share vs stock price
- Net cash per share as % of market cap

Graham's rule: buy at 2/3 of intrinsic value. The margin of safety protects you from being wrong about the future.


5. The Howard Marks Lens: Risk/Reward Asymmetry

Ask:** Is the upside significantly larger than the downside?

Framework:**
- Best case: +100%
- Base case: +30%
- Worst case: -20%

If the math works, the position size should reflect the asymmetry. Marks' key insight: **"It's not about being right. It's about being right when you're right, and not being wrong when you're wrong."


6. The Munger Lens: Lollapalooza Effects

Ask:** Are multiple forces converging? Do psychology, incentives, and business dynamics all align?

Look for:**
- Incentive alignment (management owns stock)
- Social proof (smart investors are buying)
- Availability bias (the stock is widely hated)
- Reinforcement (positive trends compound)

Munger's Lollapalooza is when 3+ psychological biases push in the same direction. Great stocks often have this dynamic — everyone hates them before they go up 5x.


Putting It All Together

Here's how I score CROX through all six lenses (spoiler: it passes every one):

| Lens | Score | Why |
|------|-------|-----|
| Buffett | ✅ Moat | 38% gross margins, brand moat in clogs |
| Li Lu | ✅ Compounding | 17% buyback yield, $600M capacity |
| Lynch | ✅ PEG | P/E 9, earnings stable |
| Graham | ✅ Safety | Net cash = 8.5% of market cap |
| Marks | ✅ Asymmetry | Upside 60%+, downside 20% |
| Munger | ✅ Lollapalooza | Hated stock, great numbers, buybacks accelerating |

When all six agree, the conviction should be high.


This is the framework I use at Moatery for every analysis.

Want me to analyze your favorite stock through all six lenses? Drop the ticker in the comments.


*This is a draft. Full version with worked examples coming soon.*

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