NXRT vs OLP

NexPoint Residential Trust, Inc vs One Liberty Properties, Inc. — Valuation Comparison 2026

NXRT

Real Estate Investment Trusts
NexPoint Residential Trust, Inc
Quality
5.6
out of 10
Value Trap
39
LOW
Price
$29.06
Last close
Models
10/13
Active
VS

OLP

Real Estate Investment Trusts
One Liberty Properties, Inc.
Quality
7.8
out of 10
Value Trap
12
SAFE
Price
$23.55
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType NXRT Fair ValueNXRT Upside OLP Fair ValueOLP Upside
Bayesian DCF Intrinsic $3.29 -88.7% $19.54 -17.0%
Earnings Power Value Intrinsic $20.21 -14.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $16.65 -42.7% $77.01 +227.0%
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 NXRT vs OLP — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

NXRT vs OLP — Which Stock Is More Undervalued?

OLP scores higher with a 7.8/10 quality rating vs NXRT's 5.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing NexPoint Residential Trust, Inc (NXRT) and One Liberty Properties, Inc. (OLP) 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.

NXRT currently trades at $29.06 with a QOC of 5.6/10, while OLP trades at $23.55 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).