LZB vs MHK

La-Z-Boy Incorporated vs Mohawk Industries, Inc. — Valuation Comparison 2026

LZB

Furnishings, Fixtures & Appliances
La-Z-Boy Incorporated
Quality
8.8
out of 10
Value Trap
6
SAFE
Price
$38.15
Last close
Models
12/13
Active
VS

MHK

Furnishings, Fixtures & Appliances
Mohawk Industries, Inc.
Quality
8.1
out of 10
Value Trap
6
SAFE
Price
$107.65
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType LZB Fair ValueLZB Upside MHK Fair ValueMHK Upside
Bayesian DCF Intrinsic $45.96 +20.5% $65.29 -39.3%
Earnings Power Value Intrinsic $9.05 -76.3% $65.00 -39.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 LZB vs MHK — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

LZB vs MHK — Which Stock Is More Undervalued?

LZB scores higher with a 8.8/10 quality rating vs MHK's 8.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing La-Z-Boy Incorporated (LZB) and Mohawk Industries, Inc. (MHK) 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.

LZB currently trades at $38.15 with a QOC of 8.8/10, while MHK trades at $107.65 with a QOC of 8.1/10.

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).