Is GHRS or GNPX more undervalued in 2026?

CirclFi compares GH Research PLC (GHRS) and Genprex, Inc. (GNPX) using 13 institutional-grade valuation models. GHRS has a Quality of Company score of 4.4/10 while GNPX scores 3.9/10.

Which is a better buy — GHRS or GNPX?

Compare intrinsic values from 13 independent models against current market prices. CirclFi also calculates Value Trap scores. This is not financial advice — conduct your own analysis.

How do GHRS and GNPX valuations compare?

GHRS at $22.38 and GNPX at $0.79 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

GHRS vs GNPX Valuation Comparison 2026 — Intrinsic Value Analysis

GHRS

Biotechnology

GH Research PLC

Quality

4.4

out of 10

Value Trap

SAFE

Price

$22.38

Last close

Models

7/13

Active

GNPX

Biotechnology

Genprex, Inc.

Quality

3.9

out of 10

Value Trap

SAFE

Price

$0.79

Last close

Models

7/13

Active

Model-by-Model Comparison

Model	Type	GHRS Fair Value	GHRS Upside	GNPX Fair Value	GNPX Upside
Bayesian DCF	Intrinsic	$3.69	-83.5%	$1.15	+44.2%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$2.62	-88.3%	$2.93	+269.2%
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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GHRS vs GNPX — Which Stock Is More Undervalued?

GHRS scores higher with a 4.4/10 quality rating vs GNPX's 3.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing GH Research PLC (GHRS) and Genprex, Inc. (GNPX) 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 GNPX trades at $0.79 with a QOC of 3.9/10.

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).