Is IMRX or IMUX more undervalued in 2026?

CirclFi compares Immuneering Corporation (IMRX) and Immunic, Inc. (IMUX) using 13 institutional-grade valuation models. IMRX has a Quality of Company score of 4.5/10 while IMUX scores 4.9/10.

Which is a better buy — IMRX or IMUX?

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 IMRX and IMUX valuations compare?

IMRX at $5.06 and IMUX at $14.97 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

IMRX vs IMUX Valuation Comparison 2026 — Intrinsic Value Analysis

IMRX

Biotechnology

Immuneering Corporation

Quality

4.5

out of 10

Value Trap

LOW

Price

$5.06

Last close

Models

7/13

Active

IMUX

Biotechnology

Immunic, Inc.

Quality

4.9

out of 10

Value Trap

SAFE

Price

$14.97

Last close

Models

7/13

Active

Model-by-Model Comparison

Model	Type	IMRX Fair Value	IMRX Upside	IMUX Fair Value	IMUX Upside
Bayesian DCF	Intrinsic	$1.74	-65.7%	$11.51	-23.1%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$1.66	-67.2%	$6.41	-57.2%
Dynamic NAV	Asset-Based	$•••.••	••.•%	$•••.••	••.•%
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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IMRX vs IMUX — Which Stock Is More Undervalued?

IMUX scores higher with a 4.9/10 quality rating vs IMRX's 4.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Immuneering Corporation (IMRX) and Immunic, Inc. (IMUX) 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.

IMRX currently trades at $5.06 with a QOC of 4.5/10, while IMUX trades at $14.97 with a QOC of 4.9/10.

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).