JILL vs LVLU

J. Jill, Inc. vs Lulu's Fashion Lounge Holdings, — Valuation Comparison 2026

JILL

Apparel Retail
J. Jill, Inc.
Quality
8.5
out of 10
Value Trap
20
SAFE
Price
$13.26
Last close
Models
10/13
Active
VS

LVLU

Apparel Retail
Lulu's Fashion Lounge Holdings,
Quality
4.9
out of 10
Value Trap
41
WARN
Price
$9.74
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType JILL Fair ValueJILL Upside LVLU Fair ValueLVLU Upside
Bayesian DCF Intrinsic $24.98 +88.4% $21.63 +122.1%
Earnings Power Value Intrinsic $21.19 +59.8% $47.76 +390.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 JILL vs LVLU — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

JILL vs LVLU — Which Stock Is More Undervalued?

JILL scores higher with a 8.5/10 quality rating vs LVLU's 4.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing J. Jill, Inc. (JILL) and Lulu's Fashion Lounge Holdings, (LVLU) 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.

JILL currently trades at $13.26 with a QOC of 8.5/10, while LVLU trades at $9.74 with a QOC of 4.9/10.

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).