BHM vs BNL

Bluerock Homes Trust, Inc. vs Broadstone Net Lease, Inc. — Valuation Comparison 2026

BHM

Real Estate Investment Trusts
Bluerock Homes Trust, Inc.
Quality
6.5
out of 10
Value Trap
24
SAFE
Price
$9.96
Last close
Models
7/13
Active
VS

BNL

Real Estate Investment Trusts
Broadstone Net Lease, Inc.
Quality
7.9
out of 10
Value Trap
30
LOW
Price
$20.23
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType BHM Fair ValueBHM Upside BNL Fair ValueBNL Upside
Bayesian DCF Intrinsic $3.46 -67.2% $11.51 -43.1%
Earnings Power Value Intrinsic $1.30 -93.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $54.74 +426.9% $25.62 +26.6%
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 BHM vs BNL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

BHM vs BNL — Which Stock Is More Undervalued?

BNL scores higher with a 7.9/10 quality rating vs BHM's 6.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Bluerock Homes Trust, Inc. (BHM) and Broadstone Net Lease, Inc. (BNL) 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.

BHM currently trades at $9.96 with a QOC of 6.5/10, while BNL trades at $20.23 with a QOC of 7.9/10.

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).