ALRS vs AMAL

Alerus Financial Corporation vs Amalgamated Financial Corp. — Valuation Comparison 2026

ALRS

Banks - Regional
Alerus Financial Corporation
Quality
7.0
out of 10
Value Trap
20
SAFE
Price
$28.90
Last close
Models
12/13
Active
VS

AMAL

Banks - Regional
Amalgamated Financial Corp.
Quality
9.0
out of 10
Value Trap
12
SAFE
Price
$41.62
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType ALRS Fair ValueALRS Upside AMAL Fair ValueAMAL Upside
Bayesian DCF Intrinsic $17.79 -38.4% $22.69 -45.5%
Earnings Power Value Intrinsic $22.77 -21.2% $28.20 -32.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-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 ALRS vs AMAL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ALRS vs AMAL — Which Stock Is More Undervalued?

AMAL scores higher with a 9.0/10 quality rating vs ALRS's 7.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Alerus Financial Corporation (ALRS) and Amalgamated Financial Corp. (AMAL) 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.

ALRS currently trades at $28.90 with a QOC of 7.0/10, while AMAL trades at $41.62 with a QOC of 9.0/10.

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).