PPTA vs SLSR

Perpetua Resources Corp. vs Solaris Resources Inc. — Valuation Comparison 2026

PPTA

Gold and Silver Ores
Perpetua Resources Corp.
Quality
5.1
out of 10
Value Trap
18
SAFE
Price
$27.07
Last close
Models
10/13
Active
VS

SLSR

Gold and Silver Ores
Solaris Resources Inc.
Quality
3.7
out of 10
Value Trap
Price
$10.20
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType PPTA Fair ValuePPTA Upside SLSR Fair ValueSLSR Upside
Bayesian DCF Intrinsic $11.05 -59.2% $1.07 -89.5%
Earnings Power Value Intrinsic $15.33 -47.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $4.20 -58.8%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

PPTA vs SLSR — Which Stock Is More Undervalued?

PPTA scores higher with a 5.1/10 quality rating vs SLSR's 3.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Perpetua Resources Corp. (PPTA) and Solaris Resources Inc. (SLSR) 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.

PPTA currently trades at $27.07 with a QOC of 5.1/10, while SLSR trades at $10.20 with a QOC of 3.7/10.

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).