Contrary to popular belief, earnings growth has a very low correlation with decadal stock returns. The primary driver is the change in the valuation multiple (e.g., P/E ratio expansion or contraction). The correlation between 10-year real returns and 10-year valuation changes is a staggering 0.9, while it is tiny for earnings growth.

Traditional valuation models assume growth decays over time. However, when a company at scale, like Databricks, begins to reaccelerate, it defies these models. This rare phenomenon signals an expanding market or competitive advantage, justifying massive valuation premiums that seem disconnected from public comps.

Because machine vision is integrated early in new manufacturing line build-outs, Cognex's business often inflects before the public knows what new product or feature is driving the capital expenditure. This makes the company a bellwether for innovation cycles at giants like Apple.

Contrary to the belief that a low P-E ratio is always better, a high ratio can signify a 'growth stock.' This indicates investors are willing to pay more because the company is reinvesting its earnings into future growth, betting on higher profitability over time.

Anchoring valuation on a company's typical price-to-sales ratio helps identify buying opportunities when margins are temporarily depressed. This avoids the pitfalls of methods like the Magic Formula, which can mistakenly favor companies at their cyclical earnings peaks, leading to underperformance.

Cognex focuses on sophisticated, top-tier customers with complex needs, requiring a highly technical sales process. In contrast, market leader Keyence targets the mid-to-low tiers with standardized products and a high-velocity, process-driven sales force, allowing both to thrive.

The company's history is defined by a deliberate strategy of finding and dominating successive waves of technology adoption. This started with semiconductor OCR, moved to general factory automation, then logistics barcoding, and now AI-driven deep learning applications, ensuring long-term relevance.

Financial models struggle to project sustained high growth rates (>30% YoY). Analysts naturally revert to the mean, causing them to undervalue companies that defy this and maintain high growth for years, creating an opportunity for investors who spot this persistence.

Investors instinctively value the distant future cash flows of elite compounding businesses higher than traditional financial models suggest. This phenomenon, known as hyperbolic discounting, helps explain why these companies consistently command premium multiples, as the market behaves more aligned with this model than standard exponential discounting.