BTG vs CMCL

B2Gold Corp vs Caledonia Mining Corporation Pl — Valuation Comparison 2026

BTG

Gold
B2Gold Corp
Quality
2.0
out of 10
Value Trap
Price
$4.60
Last close
Models
13/13
Active
VS

CMCL

Gold
Caledonia Mining Corporation Pl
Quality
1.7
out of 10
Value Trap
Price
$23.71
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType BTG Fair ValueBTG Upside CMCL Fair ValueCMCL Upside
Bayesian DCF Intrinsic $1.02 -77.8% $4.69 -80.2%
Earnings Power Value Intrinsic $5.27 +17.5% $12.95 -43.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

BTG vs CMCL — Which Stock Is More Undervalued?

BTG scores higher with a 2.0/10 quality rating vs CMCL's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing B2Gold Corp (BTG) and Caledonia Mining Corporation Pl (CMCL) 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.

BTG currently trades at $4.60 with a QOC of 2.0/10, while CMCL trades at $23.71 with a QOC of 1.7/10.

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).