CHRS vs CMPX

Coherus Oncology, Inc. vs Compass Therapeutics, Inc. — Valuation Comparison 2026

CHRS

Biological Products, (No Diagnostic Substances)
Coherus Oncology, Inc.
Quality
6.8
out of 10
Value Trap
38
LOW
Price
$1.59
Last close
Models
10/13
Active
VS

CMPX

Biological Products, (No Diagnostic Substances)
Compass Therapeutics, Inc.
Quality
5.3
out of 10
Value Trap
30
LOW
Price
$2.38
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType CHRS Fair ValueCHRS Upside CMPX Fair ValueCMPX Upside
Bayesian DCF Intrinsic $0.53 -66.6% $0.66 -72.5%
Earnings Power Value Intrinsic $9.90 +450.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $0.47 -73.6% $0.18 -90.4%
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 CHRS vs CMPX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CHRS vs CMPX — Which Stock Is More Undervalued?

CHRS scores higher with a 6.8/10 quality rating vs CMPX's 5.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Coherus Oncology, Inc. (CHRS) and Compass Therapeutics, Inc. (CMPX) 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.

CHRS currently trades at $1.59 with a QOC of 6.8/10, while CMPX trades at $2.38 with a QOC of 5.3/10.

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).