INEO vs LKQ

INNEOVA Holdings Limited vs LKQ Corporation — Valuation Comparison 2026

INEO

Auto Parts
INNEOVA Holdings Limited
Quality
2.3
out of 10
Value Trap
6
SAFE
Price
$0.61
Last close
Models
10/13
Active
VS

LKQ

Auto Parts
LKQ Corporation
Quality
8.6
out of 10
Value Trap
6
SAFE
Price
$27.29
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType INEO Fair ValueINEO Upside LKQ Fair ValueLKQ Upside
Bayesian DCF Intrinsic $0.16 -73.6% $30.52 +11.8%
Earnings Power Value Intrinsic $12.70 -53.5%
EROIC Spread Intrinsic $0.15 -74.9% $18.22 -33.2%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
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 INEO vs LKQ — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

INEO vs LKQ — Which Stock Is More Undervalued?

LKQ scores higher with a 8.6/10 quality rating vs INEO's 2.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing INNEOVA Holdings Limited (INEO) and LKQ Corporation (LKQ) 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.

INEO currently trades at $0.61 with a QOC of 2.3/10, while LKQ trades at $27.29 with a QOC of 8.6/10.

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).