ENVA vs FCFS

Enova International, Inc. vs FirstCash Holdings, Inc. — Valuation Comparison 2026

ENVA

Credit Services
Enova International, Inc.
Quality
9.2
out of 10
Value Trap
12
SAFE
Price
$158.90
Last close
Models
9/13
Active
VS

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

Model-by-Model Comparison

ModelType ENVA Fair ValueENVA Upside FCFS Fair ValueFCFS Upside
Bayesian DCF Intrinsic $105.49 -52.7%
EROIC Spread Intrinsic $50.61 -68.2% $32.05 -85.6%
First Chicago Scenario $355.49 +123.7% $98.09 -56.1%
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 ENVA vs FCFS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ENVA vs FCFS — Which Stock Is More Undervalued?

FCFS scores higher with a 9.5/10 quality rating vs ENVA's 9.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Enova International, Inc. (ENVA) and FirstCash Holdings, Inc. (FCFS) 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.

ENVA currently trades at $158.90 with a QOC of 9.2/10, while FCFS trades at $223.25 with a QOC of 9.5/10.

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).