FCFS vs FOA

FirstCash Holdings, Inc. vs Finance of America Companies In — Valuation Comparison 2026

FCFS

Credit Services
FirstCash Holdings, Inc.
Quality
9.5
out of 10
Value Trap
6
SAFE
Price
$223.25
Last close
Models
11/13
Active
VS

FOA

Credit Services
Finance of America Companies In
Quality
6.6
out of 10
Value Trap
29
LOW
Price
$20.25
Last close
Models
4/13
Active

Model-by-Model Comparison

ModelType FCFS Fair ValueFCFS Upside FOA Fair ValueFOA Upside
Bayesian DCF Intrinsic $105.49 -52.7%
Earnings Power Value Intrinsic $109.79 +442.2%
EROIC Spread Intrinsic $32.05 -85.6% $49.08 +142.4%
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 FCFS vs FOA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

FCFS vs FOA — Which Stock Is More Undervalued?

FCFS scores higher with a 9.5/10 quality rating vs FOA's 6.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing FirstCash Holdings, Inc. (FCFS) and Finance of America Companies In (FOA) 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.

FCFS currently trades at $223.25 with a QOC of 9.5/10, while FOA trades at $20.25 with a QOC of 6.6/10.

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).