TARS vs TBPH

Tarsus Pharmaceuticals, Inc. vs Theravance Biopharma, Inc. — Valuation Comparison 2026

TARS

Biotechnology
Tarsus Pharmaceuticals, Inc.
Quality
6.2
out of 10
Value Trap
12
SAFE
Price
$59.54
Last close
Models
12/13
Active
VS

TBPH

Biotechnology
Theravance Biopharma, Inc.
Quality
8.4
out of 10
Value Trap
12
SAFE
Price
$16.21
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType TARS Fair ValueTARS Upside TBPH Fair ValueTBPH Upside
Bayesian DCF Intrinsic $12.81 -78.5%
Earnings Power Value Intrinsic $27.01 -56.0% $10.88 -35.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $15.67 -75.3% $4.67 -71.2%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 TARS vs TBPH — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TARS vs TBPH — Which Stock Is More Undervalued?

TBPH scores higher with a 8.4/10 quality rating vs TARS's 6.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Tarsus Pharmaceuticals, Inc. (TARS) and Theravance Biopharma, Inc. (TBPH) 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.

TARS currently trades at $59.54 with a QOC of 6.2/10, while TBPH trades at $16.21 with a QOC of 8.4/10.

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).