The biggest risk for a late-stage private company is a growth slowdown. This forces a valuation model shift from a high multiple on future growth to a much lower multiple on current cash flow—a painful transition when you can't exit to the public markets.

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.

Investors' obsession with companies growing "from zero to 100 in a year" has led them to neglect fundamentally strong enterprise software businesses. This creates an arbitrage opportunity for those willing to back solid companies with great, albeit not exponential, growth in large markets.

The quality of public small-cap companies, measured by Return on Invested Capital (ROIC), has plummeted from 7.5% to 3% over 30 years. This degradation means high-growth opportunities now predominantly exist in the later-stage private markets. Institutional investors must shift their asset allocation to venture and growth equity, which has become "the big leagues," not a bespoke asset class.

Private market valuations are benchmarked against public multiples. Currently, public SaaS firms with 30% growth trade at 15-20x revenue, twice the historical average. If this 'bedrock price' reverts to its 7-8x mean, it will trigger a cascade of valuation drops across the private markets.

Venture capitalists may value a solid $15M revenue company at zero. Their model is not built on backing good businesses, but on funding 'upside options'—companies with the potential for explosive, outlier growth, even if they are currently unprofitable.

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.

When analyzing a true market disruptor with a long growth runway, the bigger analytical error is being too conservative. A forecast that is too low and prevents an investment is more damaging to long-term returns than an overly optimistic one that is later adjusted. The goal is to "get it right," not just be safe.