UTHR vs ZYBT

United Therapeutics Corporation vs Zhengye Biotechnology Holding L — Valuation Comparison 2026

UTHR

Drug Manufacturers - Specialty & Generic
United Therapeutics Corporation
Quality
10.0
out of 10
Value Trap
Price
$562.09
Last close
Models
13/13
Active
VS

ZYBT

Drug Manufacturers - Specialty & Generic
Zhengye Biotechnology Holding L
Quality
6.3
out of 10
Value Trap
8
SAFE
Price
$0.81
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType UTHR Fair ValueUTHR Upside ZYBT Fair ValueZYBT Upside
Bayesian DCF Intrinsic $429.25 -23.6% $0.66 -18.7%
Earnings Power Value Intrinsic $248.41 -55.8% $0.82 -10.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
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 $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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UTHR vs ZYBT — Which Stock Is More Undervalued?

UTHR scores higher with a 10.0/10 quality rating vs ZYBT's 6.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing United Therapeutics Corporation (UTHR) and Zhengye Biotechnology Holding L (ZYBT) 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.

UTHR currently trades at $562.09 with a QOC of 10.0/10, while ZYBT trades at $0.81 with a QOC of 6.3/10.

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).