PAAS vs SBSW

Pan American Silver Corp. vs D/B/A Sibanye-Stillwater Limite — Valuation Comparison 2026

PAAS

Gold and Silver Ores
Pan American Silver Corp.
Quality
2.0
out of 10
Value Trap
6
SAFE
Price
$56.99
Last close
Models
13/13
Active
VS

SBSW

Gold and Silver Ores
D/B/A Sibanye-Stillwater Limite
Quality
6.1
out of 10
Value Trap
Price
$11.93
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType PAAS Fair ValuePAAS Upside SBSW Fair ValueSBSW Upside
Bayesian DCF Intrinsic $13.39 -76.5% $7.09 -40.5%
Earnings Power Value Intrinsic $22.84 -59.6%
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 $46.05 -15.2% $15.31 +20.4%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

PAAS vs SBSW — Which Stock Is More Undervalued?

SBSW scores higher with a 6.1/10 quality rating vs PAAS's 2.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Pan American Silver Corp. (PAAS) and D/B/A Sibanye-Stillwater Limite (SBSW) 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.

PAAS currently trades at $56.99 with a QOC of 2.0/10, while SBSW trades at $11.93 with a QOC of 6.1/10.

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).