THFF vs TSBK

First Financial Corporation vs Timberland Bancorp, Inc. — Valuation Comparison 2026

THFF

Banks - Regional
First Financial Corporation
Quality
8.6
out of 10
Value Trap
12
SAFE
Price
$69.16
Last close
Models
11/13
Active
VS

TSBK

Banks - Regional
Timberland Bancorp, Inc.
Quality
9.0
out of 10
Value Trap
6
SAFE
Price
$40.96
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType THFF Fair ValueTHFF Upside TSBK Fair ValueTSBK Upside
Bayesian DCF Intrinsic $34.46 -50.2% $55.69 +36.0%
Earnings Power Value Intrinsic $46.93 -32.1% $79.98 +95.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 THFF vs TSBK — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

THFF vs TSBK — Which Stock Is More Undervalued?

TSBK scores higher with a 9.0/10 quality rating vs THFF's 8.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing First Financial Corporation (THFF) and Timberland Bancorp, Inc. (TSBK) 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.

THFF currently trades at $69.16 with a QOC of 8.6/10, while TSBK trades at $40.96 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).