CHT vs SKM

Chunghwa Telecom Co., Ltd. vs SK Telecom Co., Ltd. — Valuation Comparison 2026

CHT

Radiotelephone Communications
Chunghwa Telecom Co., Ltd.
Quality
8.8
out of 10
Value Trap
12
SAFE
Price
$43.77
Last close
Models
13/13
Active
VS

SKM

Radiotelephone Communications
SK Telecom Co., Ltd.
Quality
8.4
out of 10
Value Trap
Price
$37.34
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType CHT Fair ValueCHT Upside SKM Fair ValueSKM Upside
Bayesian DCF Intrinsic $21.29 -51.3% $73.90 +97.9%
Earnings Power Value Intrinsic $21.22 -51.5% $53.86 +44.2%
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 CHT vs SKM — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CHT vs SKM — Which Stock Is More Undervalued?

CHT scores higher with a 8.8/10 quality rating vs SKM's 8.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Chunghwa Telecom Co., Ltd. (CHT) and SK Telecom Co., Ltd. (SKM) 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.

CHT currently trades at $43.77 with a QOC of 8.8/10, while SKM trades at $37.34 with a QOC of 8.4/10.

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).