BFS vs BRT

Saul Centers, Inc. vs BRT Apartments Corp. (MD) — Valuation Comparison 2026

BFS

Real Estate Investment Trusts
Saul Centers, Inc.
Quality
7.5
out of 10
Value Trap
22
SAFE
Price
$34.66
Last close
Models
12/13
Active
VS

BRT

Real Estate Investment Trusts
BRT Apartments Corp. (MD)
Quality
7.0
out of 10
Value Trap
24
SAFE
Price
$14.49
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType BFS Fair ValueBFS Upside BRT Fair ValueBRT Upside
Bayesian DCF Intrinsic $18.36 -47.0% $18.74 +29.4%
Earnings Power Value Intrinsic $1.44 -95.8% $10.62 -26.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 BFS vs BRT — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

BFS vs BRT — Which Stock Is More Undervalued?

BFS scores higher with a 7.5/10 quality rating vs BRT's 7.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Saul Centers, Inc. (BFS) and BRT Apartments Corp. (MD) (BRT) 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.

BFS currently trades at $34.66 with a QOC of 7.5/10, while BRT trades at $14.49 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).