Our September 2026 factor run tests every pre-IPO fundamental we hold against forward returns, across IPOs priced in the last 12 months. Only factors that survive Benjamini-Hochberg correction for multiple testing are reported as robust — with dozens of variables tested at once, a plain significance threshold would surface noise.

3M forward returns

Measured across IPOs priced in the last 12 months. The table ranks factors by the absolute size of their Information Coefficient — the rank correlation between the factor and the return that followed.

VariablenICpQ5−Q1 spreadRobust
Interest coverage (EBIT / interest)340.5280.004117.454✓
Stock-based comp / revenue %22-0.4860.003-30.609✓
Direct listing (0/1)137-0.437<0.001-55.826✓
Op. cash flow / revenue %500.3390.05239.831
Goodwill / assets %300.3320.06242.016
Direct listing < $1000M cap (0/1)136-0.327<0.001-49.719✓
Free cash flow / revenue %500.3260.06039.831
Altman Z'' (distress)760.3120.01075.872✓
Strongest pre-IPO factors vs 3M return (IPOs priced in the last 12 months)

Multivariate fit (3M)

Cross-validated Elastic Net (n=135, α=11.13, CV R²=0.006), standardized coefficients:

VariableCoefficient
Direct listing (0/1)-2.2101
Direct listing < $1000M cap (0/1)-1.4214
Debt / equity1.2355
Return on assets %1.0446
Net margin %1.0380
EGC opted out of extended transition (0/1)0.9106

6M forward returns

Measured across IPOs priced in the last 12 months. The table ranks factors by the absolute size of their Information Coefficient — the rank correlation between the factor and the return that followed.

VariablenICpQ5−Q1 spreadRobust
Interest coverage (EBIT / interest)320.672<0.001338.231✓
Stock-based comp / revenue %21-0.6340.087-91.085
SG&A growth % (YoY)320.5240.053223.646
Op. cash flow / revenue %480.4740.032165.538
Piotroski F-score (0-8)250.4720.013215.228
Free cash flow / revenue %480.4680.039158.601
Cash runway (months)370.4150.086200.182
Intangibles / assets %28-0.3950.039-151.136
Strongest pre-IPO factors vs 6M return (IPOs priced in the last 12 months)

Multivariate fit (6M)

Elastic Net shrank every coefficient to zero.

What this does not prove

These are historical associations across a sector-neutralized cross-section, not a trading rule. Sample sizes are small by quantitative-research standards, the IPO universe turns over quickly, and a factor that clears the significance bar in one month can fail it the next.