APRE vs ARGX

Aprea Therapeutics, Inc. vs argenx SE — Valuation Comparison 2026

APRE

Biotechnology
Aprea Therapeutics, Inc.
Quality
4.5
out of 10
Value Trap
12
SAFE
Price
$0.93
Last close
Models
8/13
Active
VS

ARGX

Biotechnology
argenx SE
Quality
2.0
out of 10
Value Trap
Price
$838.49
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType APRE Fair ValueAPRE Upside ARGX Fair ValueARGX Upside
Bayesian DCF Intrinsic $2.30 +147.6% $279.55 -66.7%
Earnings Power Value Intrinsic $363.38 -53.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $0.80 -14.3% $1161.33 +38.5%
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 APRE vs ARGX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

APRE vs ARGX — Which Stock Is More Undervalued?

APRE scores higher with a 4.5/10 quality rating vs ARGX's 2.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Aprea Therapeutics, Inc. (APRE) and argenx SE (ARGX) 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.

APRE currently trades at $0.93 with a QOC of 4.5/10, while ARGX trades at $838.49 with a QOC of 2.0/10.

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).