HMY vs HSLV

Harmony Gold Mining Company Lim vs Highlander Silver Corp. — Valuation Comparison 2026

HMY

Gold and Silver Ores
Harmony Gold Mining Company Lim
Quality
9.2
out of 10
Value Trap
Price
$18.27
Last close
Models
13/13
Active
VS

HSLV

Gold and Silver Ores
Highlander Silver Corp.
Quality
4.4
out of 10
Value Trap
Price
$5.50
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType HMY Fair ValueHMY Upside HSLV Fair ValueHSLV Upside
Bayesian DCF Intrinsic $6.21 -66.0% $1.64 -70.2%
Earnings Power Value Intrinsic $17.92 -1.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $5.25 -71.3% $0.38 -93.1%
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 HMY vs HSLV — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

HMY vs HSLV — Which Stock Is More Undervalued?

HMY scores higher with a 9.2/10 quality rating vs HSLV's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Harmony Gold Mining Company Lim (HMY) and Highlander Silver Corp. (HSLV) 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.

HMY currently trades at $18.27 with a QOC of 9.2/10, while HSLV trades at $5.50 with a QOC of 4.4/10.

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).