LLY vs MDCX

Eli Lilly and Company vs Medicus Pharma Ltd. — Valuation Comparison 2026

LLY

Drug Manufacturers - General
Eli Lilly and Company
Quality
10.0
out of 10
Value Trap
12
SAFE
Price
$1126.80
Last close
Models
13/13
Active
VS

MDCX

Drug Manufacturers - General
Medicus Pharma Ltd.
Quality
3.2
out of 10
Value Trap
12
SAFE
Price
$0.33
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType LLY Fair ValueLLY Upside MDCX Fair ValueMDCX Upside
Bayesian DCF Intrinsic $118.75 -89.5% $0.13 -61.7%
Earnings Power Value Intrinsic $192.34 -82.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $34.96 -96.9% $0.21 -34.9%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

LLY vs MDCX — Which Stock Is More Undervalued?

LLY scores higher with a 10.0/10 quality rating vs MDCX's 3.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Eli Lilly and Company (LLY) and Medicus Pharma Ltd. (MDCX) 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.

LLY currently trades at $1126.80 with a QOC of 10.0/10, while MDCX trades at $0.33 with a QOC of 3.2/10.

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).