GHRS vs GMAB

GH Research PLC vs Genmab A/S — Valuation Comparison 2026

GHRS

Biotechnology
GH Research PLC
Quality
4.4
out of 10
Value Trap
12
SAFE
Price
$22.38
Last close
Models
7/13
Active
VS

GMAB

Biotechnology
Genmab A/S
Quality
6.7
out of 10
Value Trap
Price
$27.04
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType GHRS Fair ValueGHRS Upside GMAB Fair ValueGMAB Upside
Bayesian DCF Intrinsic $3.69 -83.5% $29.51 +9.1%
Earnings Power Value Intrinsic $22.31 -17.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $2.62 -88.3% $3.50 -87.1%
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 GHRS vs GMAB — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

GHRS vs GMAB — Which Stock Is More Undervalued?

GMAB scores higher with a 6.7/10 quality rating vs GHRS's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing GH Research PLC (GHRS) and Genmab A/S (GMAB) 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.

GHRS currently trades at $22.38 with a QOC of 4.4/10, while GMAB trades at $27.04 with a QOC of 6.7/10.

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).