COYA vs CPRX

Coya Therapeutics, Inc. vs Catalyst Pharmaceuticals, Inc. — Valuation Comparison 2026

COYA

Biotechnology
Coya Therapeutics, Inc.
Quality
5.5
out of 10
Value Trap
30
LOW
Price
$4.83
Last close
Models
9/13
Active
VS

CPRX

Biotechnology
Catalyst Pharmaceuticals, Inc.
Quality
10.0
out of 10
Value Trap
18
SAFE
Price
$31.29
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType COYA Fair ValueCOYA Upside CPRX Fair ValueCPRX Upside
Bayesian DCF Intrinsic $2.48 -48.7% $31.62 +1.1%
Earnings Power Value Intrinsic $18.57 -40.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $0.11 -97.5% $41.39 +32.3%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

COYA vs CPRX — Which Stock Is More Undervalued?

CPRX scores higher with a 10.0/10 quality rating vs COYA's 5.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Coya Therapeutics, Inc. (COYA) and Catalyst Pharmaceuticals, Inc. (CPRX) 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.

COYA currently trades at $4.83 with a QOC of 5.5/10, while CPRX trades at $31.29 with a QOC of 10.0/10.

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).