A multibagger stock is a stock that increases in value several times its original price, with a "ten-bagger" referring to a tenfold price increase. Yartseva (2025) presents this analysis in The Alchemy of Multibagger Stocks: An empirical investigation of factors that drive outperformance in the stock market. The study analyzed 464 multibagger stocks using S&P Capital IQ data covering 11,600 company-year observations from 2000 to 2024. Small-cap stocks (below $250 million) outperformed the S&P 500 by 37.7% annually, versus 14.5% mid-cap and 9.7% large-cap. Free cash flow yield emerged as the strongest driver of multibagger returns beyond the traditional Fama-French factors.
What the Study Found
Small-cap multibagger stocks outperformed the S&P 500 by 37.7% annually in portfolios sorted using 2000-2024 data, versus 14.5% mid-cap and 9.7% large-cap. High book-to-market (value) multibagger stocks generated a 34.7% annual excess return, compared to 14.5% for medium-value and 12.8% for low-value stocks. A 1% increase in book-to-market or FCF/P ratio raised future share price return by 7% to 52% across all model specifications. An investment dummy, equal to 1 when asset growth exceeds EBITDA growth, reduced next-year returns above the risk-free rate by 4 to 11 percentage points. A rising Federal Reserve interest rate depressed next-year multibagger stock returns by 10.1%.
"The findings indicate that several traditional Fama-French factors, including size, value and profitability, remain significant predictors of future multibagger returns: small-cap high-value high-profitability stocks outperform."
Yartseva (2025), The Alchemy of Multibagger Stocks: An empirical investigation of factors that drive outperformance in the stock market, p. 1.
Methodology
The study uses total share price return data for all NYSE- and NASDAQ-listed companies, including ADRs, sourced from the S&P Capital IQ database. The sample consists of 464 firms that increased in value at least tenfold between 2009 and 2024, covering 11,600 company-year observations from 2000 to 2024. The dynamic panel model controls for lagged size, value, profitability, and investment factors, plus market return, the risk-free rate, and an interest-rate-environment dummy. It is estimated with Arellano-Bond and system GMM estimators on data from 2000 to 2022, with 2023-2024 reserved for out-of-sample forecasting.
Key Statistics
| Metric | Finding | Context |
|---|---|---|
| Small-cap excess return | 37.7% annually | vs. 14.5% mid-cap, 9.7% large-cap; 2000-2024 sorts |
| High-value excess return | 34.7% annually | vs. 14.5% medium-value, 12.8% low-value |
| Investment dummy effect | -4 to -11 percentage points | next-year return above risk-free rate, when asset growth exceeds EBITDA growth |
| Interest rate effect | -10.1% | next-year return when the Fed rate is rising |
| Value/FCF yield effect | +7% to 52% future return | per 1% increase in book-to-market or FCF/P ratio |
| Share price decomposition | P̂ = EPŜ + P/Ê | share price growth = EPS growth + P/E multiple expansion |
Aggressive vs Conservative Investment Portfolios
| Measure | Aggressive Investment | Conservative Investment |
|---|---|---|
| Excess return, weak profitability, low B/M | 24.6% | -5.4% |
| Excess return, weak profitability, medium B/M | 21.7% | -2.1% |
| Excess return, weak profitability, high B/M | 33.4% | 23.6% |
| Average year-on-year asset growth | +40.0% | -6.8% |
Why This Matters
The results suggest that a company's ability to fund growth internally matters more than the scale of its investment. Aggressive asset growth only hurts returns once it outpaces earnings growth. For investors building stock screens, combining small size, high book-to-market value, and strong cash flow generation looks more informative than screening on earnings growth. The interest-rate sensitivity of multibagger returns points toward adjusting exposure to growth stocks around the monetary policy cycle rather than holding a static allocation.