AVB vs BFS

AvalonBay Communities, Inc. vs Saul Centers, Inc. — Valuation Comparison 2026

AVB

Real Estate Investment Trusts
AvalonBay Communities, Inc.
Quality
7.3
out of 10
Value Trap
24
SAFE
Price
$182.51
Last close
Models
13/13
Active
VS

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

Model-by-Model Comparison

ModelType AVB Fair ValueAVB Upside BFS Fair ValueBFS Upside
Bayesian DCF Intrinsic $61.64 -66.2% $18.36 -47.0%
Earnings Power Value Intrinsic $129.50 -29.0% $1.44 -95.8%
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 AVB vs BFS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AVB vs BFS — Which Stock Is More Undervalued?

BFS scores higher with a 7.5/10 quality rating vs AVB's 7.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing AvalonBay Communities, Inc. (AVB) and Saul Centers, Inc. (BFS) 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.

AVB currently trades at $182.51 with a QOC of 7.3/10, while BFS trades at $34.66 with a QOC of 7.5/10.

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).