The Hidden Compounder Blueprint | Chris Mayer and Robert Hagstrom on Finding the Perfect Business скачать в хорошем качестве

The Hidden Compounder Blueprint | Chris Mayer and Robert Hagstrom on Finding the Perfect Business

This episode of The 100 Year Thinkers brings together Robert Hagstrom, Chris Mayer, and Bogumil Baranowski for a deep conversation on what makes a great business, why long-term investing is so hard, and how the world’s best investors think about mistakes, management, conviction, and the durability of competitive advantages. We explore perfect businesses, the pain of missed opportunities, the behavioral traps that derail long-term compounding, and how to navigate rapid technological change while keeping your investment process grounded. Topics covered: • What defines a perfect business and why so few qualify • The role of capital efficiency, returns on capital, and cash generation • Why omissions are often investors’ most painful mistakes • How to build conviction to hold great companies through drawdowns • The behavioral edge of true long-term investing • Management quality, insider ownership, incentives, and red flags • Why owner earnings and free cash flow matter more than GAAP earnings • The challenge of evaluating fast-changing industries and staying within your circle of competence • How AI, networks, and scale economics reshape competitive moats • Portfolio management lessons, starter positions, and letting winners run Timestamps: 00:00 Perfect businesses and long-term economics 01:49 Defining the perfect stock 03:27 Holding long term through volatility 07:30 Behavioral inefficiencies and market structure 09:15 Humanizing mistakes and decision making 14:28 Errors of omission and painful missed opportunities 19:00 What to look for in management 24:27 Signals from financial disclosures and actions 26:00 Key quantitative metrics for long-term compounders 34:04 Owner earnings vs GAAP earnings 37:00 Intangible investment and modern cash flow analysis 38:50 Circle of competence and fast-changing industries 42:00 Large language models, networks, and moats 43:52 AI use cases and productivity 45:00 Closing thoughts and where to find the guests 46:25 Episode recap and takeaways