CIGI vs CWK

Colliers International Group In vs Cushman & Wakefield Ltd. — Valuation Comparison 2026

CIGI

Real Estate
Colliers International Group In
Quality
1.9
out of 10
Value Trap
Price
$94.36
Last close
Models
13/13
Active
VS

CWK

Real Estate
Cushman & Wakefield Ltd.
Quality
7.8
out of 10
Value Trap
12
SAFE
Price
$12.44
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType CIGI Fair ValueCIGI Upside CWK Fair ValueCWK Upside
Bayesian DCF Intrinsic $21.10 -77.6% $7.13 -42.7%
Earnings Power Value Intrinsic $48.42 -51.2% $1.46 -88.3%
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 CIGI vs CWK — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CIGI vs CWK — Which Stock Is More Undervalued?

CWK scores higher with a 7.8/10 quality rating vs CIGI's 1.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Colliers International Group In (CIGI) and Cushman & Wakefield Ltd. (CWK) 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.

CIGI currently trades at $94.36 with a QOC of 1.9/10, while CWK trades at $12.44 with a QOC of 7.8/10.

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).