LAR vs LZM

Lithium Argentina AG vs Lifezone Metals Limited — Valuation Comparison 2026

LAR

Metal Mining
Lithium Argentina AG
Quality
1.4
out of 10
Value Trap
12
SAFE
Price
$10.40
Last close
Models
9/13
Active
VS

LZM

Metal Mining
Lifezone Metals Limited
Quality
2.0
out of 10
Value Trap
Price
$5.25
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType LAR Fair ValueLAR Upside LZM Fair ValueLZM Upside
Bayesian DCF Intrinsic $2.54 -75.6% $1.24 -76.4%
Earnings Power Value Intrinsic $0.25 -95.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $1.12 -88.3%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

LAR vs LZM — Which Stock Is More Undervalued?

LZM scores higher with a 2.0/10 quality rating vs LAR's 1.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Lithium Argentina AG (LAR) and Lifezone Metals Limited (LZM) 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.

LAR currently trades at $10.40 with a QOC of 1.4/10, while LZM trades at $5.25 with a QOC of 2.0/10.

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).