USAS vs VALE

Americas Gold and Silver Corpor vs VALE S.A. — Valuation Comparison 2026

USAS

Metal Mining
Americas Gold and Silver Corpor
Quality
4.0
out of 10
Value Trap
Price
$6.16
Last close
Models
13/13
Active
VS

VALE

Metal Mining
VALE S.A.
Quality
1.9
out of 10
Value Trap
Price
$16.25
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType USAS Fair ValueUSAS Upside VALE Fair ValueVALE Upside
Bayesian DCF Intrinsic $2.32 -62.3% $5.44 -66.5%
Earnings Power Value Intrinsic $4.50 -26.9% $5.98 -65.2%
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 USAS vs VALE — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

USAS vs VALE — Which Stock Is More Undervalued?

USAS scores higher with a 4.0/10 quality rating vs VALE's 1.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Americas Gold and Silver Corpor (USAS) and VALE S.A. (VALE) 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.

USAS currently trades at $6.16 with a QOC of 4.0/10, while VALE trades at $16.25 with a QOC of 1.9/10.

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).