NLY vs NNN

Annaly Capital Management Inc. vs NNN REIT, Inc. — Valuation Comparison 2026

NLY

Real Estate Investment Trusts
Annaly Capital Management Inc.
Quality
7.4
out of 10
Value Trap
20
SAFE
Price
$21.85
Last close
Models
11/13
Active
VS

NNN

Real Estate Investment Trusts
NNN REIT, Inc.
Quality
7.7
out of 10
Value Trap
24
SAFE
Price
$44.51
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType NLY Fair ValueNLY Upside NNN Fair ValueNNN Upside
Bayesian DCF Intrinsic $14.24 -34.8% $21.66 -51.3%
Earnings Power Value Intrinsic $9.53 -58.2% $4.48 -89.8%
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 NLY vs NNN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

NLY vs NNN — Which Stock Is More Undervalued?

NNN scores higher with a 7.7/10 quality rating vs NLY's 7.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Annaly Capital Management Inc. (NLY) and NNN REIT, Inc. (NNN) 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.

NLY currently trades at $21.85 with a QOC of 7.4/10, while NNN trades at $44.51 with a QOC of 7.7/10.

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).