CHH vs CNTY

Choice Hotels International, In vs Century Casinos, Inc. — Valuation Comparison 2026

CHH

Hotels & Motels
Choice Hotels International, In
Quality
8.5
out of 10
Value Trap
18
SAFE
Price
$108.88
Last close
Models
12/13
Active
VS

CNTY

Hotels & Motels
Century Casinos, Inc.
Quality
6.8
out of 10
Value Trap
12
SAFE
Price
$1.36
Last close
Models
4/13
Active

Model-by-Model Comparison

ModelType CHH Fair ValueCHH Upside CNTY Fair ValueCNTY Upside
Bayesian DCF Intrinsic $19.30 -82.3%
Earnings Power Value Intrinsic $33.99 -68.8%
EROIC Spread Intrinsic $22.38 -79.4% $4.47 +228.8%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $464.08 +326.2% $1.31 -4.0%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 CHH vs CNTY — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CHH vs CNTY — Which Stock Is More Undervalued?

CHH scores higher with a 8.5/10 quality rating vs CNTY's 6.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Choice Hotels International, In (CHH) and Century Casinos, Inc. (CNTY) 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.

CHH currently trades at $108.88 with a QOC of 8.5/10, while CNTY trades at $1.36 with a QOC of 6.8/10.

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).