Is LIMN or LNAI more undervalued in 2026?

CirclFi compares Liminatus Pharma, Inc. (LIMN) and Lunai Bioworks Inc. (LNAI) using 13 institutional-grade valuation models. LIMN has a Quality of Company score of 3.5/10 while LNAI scores 2.9/10.

Which is a better buy — LIMN or LNAI?

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 LIMN and LNAI valuations compare?

LIMN at $0.18 and LNAI at $3.04 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

LIMN vs LNAI Valuation Comparison 2026 — Intrinsic Value Analysis

LIMN

Biotechnology

Liminatus Pharma, Inc.

Quality

3.5

out of 10

Value Trap

—

Price

$0.18

Last close

Models

7/13

Active

LNAI

Biotechnology

Lunai Bioworks Inc.

Quality

2.9

out of 10

Value Trap

WARN

Price

$3.04

Last close

Models

5/13

Active

Model-by-Model Comparison

Model	Type	LIMN Fair Value	LIMN Upside	LNAI Fair Value	LNAI Upside
Bayesian DCF	Intrinsic	$0.06	-67.7%	$0.84	-72.4%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$0.02	-87.1%	—	—
PWERM	Option-Based	$0.21	+16.3%	$6.31	+107.4%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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LIMN vs LNAI — Which Stock Is More Undervalued?

LIMN scores higher with a 3.5/10 quality rating vs LNAI's 2.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Liminatus Pharma, Inc. (LIMN) and Lunai Bioworks Inc. (LNAI) 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.

LIMN currently trades at $0.18 with a QOC of 3.5/10, while LNAI trades at $3.04 with a QOC of 2.9/10.

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).