Christopher Mayer distills the mathematics of extraordinary compounding into a single sentence. A 100-bagger — a stock that returns 100 times the original investment — sounds like the product of luck or speculation. Mayer's research, drawing on Thomas Phelps's original 1972 study and updated with modern examples, shows it is primarily the product of a specific business architecture repeated across dozens of sectors and time periods.

The two variables in this sentence do all the work. "High rates of return" on reinvested capital means the business earns more than its cost of capital on each incremental dollar deployed back into operations. That is not common. Many businesses earn decent returns on their existing base but face diminishing returns as they scale. The rare ones maintain or even expand their return profile as they grow — typically because they possess durable competitive advantages (switching costs, network effects, brand moats) that protect margins.

"For a long time" is the multiplier. Mayer's data shows that the holding period for most 100-baggers is measured in decades, not years. This is what makes them so hard to capture: most investors sell the position when it doubles or triples, eliminating the compounding that produces the final multiple. The investor's own psychology, not the business's performance, is usually what severs the return.

The practical screener this produces is demanding: high ROIC, reinvestment runway, durable moat, patient owner. Companies meeting all four criteria simultaneously are rare — but they are findable, and Mayer's book is a systematic guide to finding them.

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