CNS vs DBRG

Cohen & Steers Inc vs DigitalBridge Group, Inc. — Valuation Comparison 2026

CNS

Investment Advice
Cohen & Steers Inc
Quality
7.4
out of 10
Value Trap
26
LOW
Price
$69.80
Last close
Models
13/13
Active
VS

DBRG

Investment Advice
DigitalBridge Group, Inc.
Quality
7.6
out of 10
Value Trap
29
LOW
Price
$15.64
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType CNS Fair ValueCNS Upside DBRG Fair ValueDBRG Upside
Bayesian DCF Intrinsic $17.29 -75.2% $10.43 -33.3%
Earnings Power Value Intrinsic $15.31 -78.1% $7.26 -53.3%
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 CNS vs DBRG — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CNS vs DBRG — Which Stock Is More Undervalued?

DBRG scores higher with a 7.6/10 quality rating vs CNS's 7.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Cohen & Steers Inc (CNS) and DigitalBridge Group, Inc. (DBRG) 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.

CNS currently trades at $69.80 with a QOC of 7.4/10, while DBRG trades at $15.64 with a QOC of 7.6/10.

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).