TVTX vs TYRA

Travere Therapeutics, Inc. vs Tyra Biosciences, Inc. — Valuation Comparison 2026

TVTX

Biotechnology
Travere Therapeutics, Inc.
Quality
6.3
out of 10
Value Trap
24
SAFE
Price
$47.76
Last close
Models
11/13
Active
VS

TYRA

Biotechnology
Tyra Biosciences, Inc.
Quality
4.3
out of 10
Value Trap
18
SAFE
Price
$32.68
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType TVTX Fair ValueTVTX Upside TYRA Fair ValueTYRA Upside
Bayesian DCF Intrinsic $12.78 -73.2% $9.52 -70.9%
Earnings Power Value Intrinsic $13.84 -68.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $5.32 -83.7%
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 TVTX vs TYRA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TVTX vs TYRA — Which Stock Is More Undervalued?

TVTX scores higher with a 6.3/10 quality rating vs TYRA's 4.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Travere Therapeutics, Inc. (TVTX) and Tyra Biosciences, Inc. (TYRA) 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.

TVTX currently trades at $47.76 with a QOC of 6.3/10, while TYRA trades at $32.68 with a QOC of 4.3/10.

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).