Is IFRX or IMNN more undervalued in 2026?

CirclFi compares InflaRx N.V. (IFRX) and Imunon, Inc. (IMNN) using 13 institutional-grade valuation models. IFRX has a Quality of Company score of 1.8/10 while IMNN scores 4.4/10.

Which is a better buy — IFRX or IMNN?

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 IFRX and IMNN valuations compare?

IFRX at $2.40 and IMNN at $2.18 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

IFRX vs IMNN Valuation Comparison 2026 — Intrinsic Value Analysis

IFRX

Pharmaceutical Preparations

InflaRx N.V.

Quality

1.8

out of 10

Value Trap

—

Price

$2.40

Last close

Models

7/13

Active

IMNN

Pharmaceutical Preparations

Imunon, Inc.

Quality

4.4

out of 10

Value Trap

LOW

Price

$2.18

Last close

Models

7/13

Active

Model-by-Model Comparison

Model	Type	IFRX Fair Value	IFRX Upside	IMNN Fair Value	IMNN Upside
Bayesian DCF	Intrinsic	$0.64	-73.3%	$1.10	-49.7%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$0.06	-97.6%	$0.10	-96.3%
Dynamic NAV	Asset-Based	$•••.••	••.•%	$•••.••	••.•%
PWERM	Option-Based	$0.89	-63.0%	$2.88	+32.0%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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IFRX vs IMNN — Which Stock Is More Undervalued?

IMNN scores higher with a 4.4/10 quality rating vs IFRX's 1.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing InflaRx N.V. (IFRX) and Imunon, Inc. (IMNN) 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.

IFRX currently trades at $2.40 with a QOC of 1.8/10, while IMNN trades at $2.18 with a QOC of 4.4/10.

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).