IMRX vs INM

Immuneering Corporation vs InMed Pharmaceuticals Inc. — Valuation Comparison 2026

IMRX

Pharmaceutical Preparations
Immuneering Corporation
Quality
4.5
out of 10
Value Trap
26
LOW
Price
$5.77
Last close
Models
7/13
Active
VS

INM

Pharmaceutical Preparations
InMed Pharmaceuticals Inc.
Quality
5.0
out of 10
Value Trap
24
SAFE
Price
$1.57
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType IMRX Fair ValueIMRX Upside INM Fair ValueINM Upside
Bayesian DCF Intrinsic $1.71 -70.4% $1.18 -24.6%
Earnings Power Value Intrinsic $3.95 +452.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $1.67 -71.1% $0.25 -64.7%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for IMRX vs INM — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

IMRX vs INM — Which Stock Is More Undervalued?

INM scores higher with a 5.0/10 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 InMed Pharmaceuticals Inc. (INM) 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 $5.77 with a QOC of 4.5/10, while INM trades at $1.57 with a QOC of 5.0/10.

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).