The Valuation Multiples

What 128,000 observations across 15,000 public companies reveal about what really drives valuation multiples and what doesn’t.
VEDRAI OBSERVATORY
The Valuation Multiple Illusion

Vedrai Observatory's research paper examines why standard valuation multiples fail as standalone tools. Drawing on data from over 15,000 public companies and 128,000 observations across ten years, this paper reveals that traditional financial metrics explain as little as 3–6% of valuation premiums, while media visibility, capital structure, and trading stability matter as much as profits and growth.

KEY TAKEAWAYS

  • Standard financial metrics explain just 3–6% of valuation premiums; AI models with 28 variables reach 44–66%
  • The real drivers are capital structure, media visibility, trading stability, and business model structure
  • The market is 3 to 5 times better at pricing what it sees today than at predicting long-term value
  • The financial metrics on every comp table explain less than 6% of why one company's enterprise multiple is higher than another's.
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