CIMP vs CLDT

Chimera Investment Corporation vs Chatham Lodging Trust (REIT) — Valuation Comparison 2026

CIMP

Real Estate Investment Trusts
Chimera Investment Corporation
Quality
6.2
out of 10
Value Trap
Price
$25.02
Last close
Models
11/13
Active
VS

CLDT

Real Estate Investment Trusts
Chatham Lodging Trust (REIT)
Quality
7.0
out of 10
Value Trap
12
SAFE
Price
$10.85
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType CIMP Fair ValueCIMP Upside CLDT Fair ValueCLDT Upside
Bayesian DCF Intrinsic $17.83 -28.7% $5.11 -52.9%
Earnings Power Value Intrinsic $38.69 +54.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $29.14 +16.5% $10.53 -2.9%
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 CIMP vs CLDT — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CIMP vs CLDT — Which Stock Is More Undervalued?

CLDT scores higher with a 7.0/10 quality rating vs CIMP's 6.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Chimera Investment Corporation (CIMP) and Chatham Lodging Trust (REIT) (CLDT) 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.

CIMP currently trades at $25.02 with a QOC of 6.2/10, while CLDT trades at $10.85 with a QOC of 7.0/10.

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).