FNWB vs FSBC

First Northwest Bancorp vs Five Star Bancorp — Valuation Comparison 2026

FNWB

Banks - Regional
First Northwest Bancorp
Quality
7.3
out of 10
Value Trap
21
SAFE
Price
$9.75
Last close
Models
11/13
Active
VS

FSBC

Banks - Regional
Five Star Bancorp
Quality
8.8
out of 10
Value Trap
20
SAFE
Price
$42.24
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType FNWB Fair ValueFNWB Upside FSBC Fair ValueFSBC Upside
Bayesian DCF Intrinsic $5.46 -44.0% $46.30 +9.6%
Earnings Power Value Intrinsic $9.14 -8.7% $69.78 +65.2%
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 FNWB vs FSBC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

FNWB vs FSBC — Which Stock Is More Undervalued?

FSBC scores higher with a 8.8/10 quality rating vs FNWB's 7.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing First Northwest Bancorp (FNWB) and Five Star Bancorp (FSBC) 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.

FNWB currently trades at $9.75 with a QOC of 7.3/10, while FSBC trades at $42.24 with a QOC of 8.8/10.

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).