Is GNPX or GRCE more undervalued in 2026?

CirclFi compares Genprex, Inc. (GNPX) and Grace Therapeutics, Inc. (GRCE) using 13 institutional-grade valuation models. GNPX has a Quality of Company score of 3.9/10 while GRCE scores 4.6/10.

Which is a better buy — GNPX or GRCE?

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 GNPX and GRCE valuations compare?

GNPX at $0.79 and GRCE at $2.43 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

GNPX vs GRCE Valuation Comparison 2026 — Intrinsic Value Analysis

GNPX

Biotechnology

Genprex, Inc.

Quality

3.9

out of 10

Value Trap

SAFE

Price

$0.79

Last close

Models

7/13

Active

GRCE

Biotechnology

Grace Therapeutics, Inc.

Quality

4.6

out of 10

Value Trap

WARN

Price

$2.43

Last close

Models

7/13

Active

Model-by-Model Comparison

Model	Type	GNPX Fair Value	GNPX Upside	GRCE Fair Value	GRCE Upside
Bayesian DCF	Intrinsic	$1.15	+44.2%	$1.31	-46.0%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$0.06	-93.8%	$4.05	+66.7%
Dynamic NAV	Asset-Based	$2.93	+269.2%	$3.38	+39.2%
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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GNPX vs GRCE — Which Stock Is More Undervalued?

GRCE scores higher with a 4.6/10 quality rating vs GNPX's 3.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Genprex, Inc. (GNPX) and Grace Therapeutics, Inc. (GRCE) 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.

GNPX currently trades at $0.79 with a QOC of 3.9/10, while GRCE trades at $2.43 with a QOC of 4.6/10.

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).