VZLA vs WPM

Vizsla Silver Corp. vs Wheaton Precious Metals Corp — Valuation Comparison 2026

VZLA

Gold and Silver Ores
Vizsla Silver Corp.
Quality
5.0
out of 10
Value Trap
6
SAFE
Price
$3.88
Last close
Models
8/13
Active
VS

WPM

Gold and Silver Ores
Wheaton Precious Metals Corp
Quality
2.1
out of 10
Value Trap
Price
$132.60
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType VZLA Fair ValueVZLA Upside WPM Fair ValueWPM Upside
Bayesian DCF Intrinsic $1.15 -70.4% $51.85 -60.9%
Earnings Power Value Intrinsic $23.69 -82.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $0.12 -96.9% $90.60 -32.7%
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 VZLA vs WPM — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

VZLA vs WPM — Which Stock Is More Undervalued?

VZLA scores higher with a 5.0/10 quality rating vs WPM's 2.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Vizsla Silver Corp. (VZLA) and Wheaton Precious Metals Corp (WPM) 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.

VZLA currently trades at $3.88 with a QOC of 5.0/10, while WPM trades at $132.60 with a QOC of 2.1/10.

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).