JANX vs JAZZ

Janux Therapeutics, Inc. vs Jazz Pharmaceuticals plc — Valuation Comparison 2026

JANX

Biotechnology
Janux Therapeutics, Inc.
Quality
5.4
out of 10
Value Trap
24
SAFE
Price
$14.74
Last close
Models
9/13
Active
VS

JAZZ

Biotechnology
Jazz Pharmaceuticals plc
Quality
7.5
out of 10
Value Trap
15
SAFE
Price
$235.38
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType JANX Fair ValueJANX Upside JAZZ Fair ValueJAZZ Upside
Bayesian DCF Intrinsic $4.28 -71.0% $399.99 +69.9%
EROIC Spread Intrinsic $108.93 -44.6%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $9.03 -38.7% $27.12 -88.5%
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 JANX vs JAZZ — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

JANX vs JAZZ — Which Stock Is More Undervalued?

JAZZ scores higher with a 7.5/10 quality rating vs JANX's 5.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Janux Therapeutics, Inc. (JANX) and Jazz Pharmaceuticals plc (JAZZ) 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.

JANX currently trades at $14.74 with a QOC of 5.4/10, while JAZZ trades at $235.38 with a QOC of 7.5/10.

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).