ALLO vs ALMS

Allogene Therapeutics, Inc. vs Alumis Inc. — Valuation Comparison 2026

ALLO

Biotechnology
Allogene Therapeutics, Inc.
Quality
4.7
out of 10
Value Trap
45
WARN
Price
$2.25
Last close
Models
9/13
Active
VS

ALMS

Biotechnology
Alumis Inc.
Quality
4.6
out of 10
Value Trap
12
SAFE
Price
$21.40
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType ALLO Fair ValueALLO Upside ALMS Fair ValueALMS Upside
Bayesian DCF Intrinsic $0.56 -75.3% $4.81 -77.5%
Earnings Power Value Intrinsic $11.35 -54.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $0.05 -97.9% $0.24 -98.9%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for ALLO vs ALMS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ALLO vs ALMS — Which Stock Is More Undervalued?

ALLO scores higher with a 4.7/10 quality rating vs ALMS's 4.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Allogene Therapeutics, Inc. (ALLO) and Alumis Inc. (ALMS) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

ALLO currently trades at $2.25 with a QOC of 4.7/10, while ALMS trades at $21.40 with a QOC of 4.6/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).