LEGN vs LFVN

Legend Biotech Corporation vs Lifevantage Corporation — Valuation Comparison 2026

LEGN

Pharmaceutical Preparations
Legend Biotech Corporation
Quality
1.7
out of 10
Value Trap
Price
$27.16
Last close
Models
12/13
Active
VS

LFVN

Pharmaceutical Preparations
Lifevantage Corporation
Quality
9.0
out of 10
Value Trap
12
SAFE
Price
$7.87
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType LEGN Fair ValueLEGN Upside LFVN Fair ValueLFVN Upside
Bayesian DCF Intrinsic $8.41 -69.1% $5.48 -30.3%
Earnings Power Value Intrinsic $10.13 -57.6% $2.86 -63.6%
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 LEGN vs LFVN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

LEGN vs LFVN — Which Stock Is More Undervalued?

LFVN scores higher with a 9.0/10 quality rating vs LEGN's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Legend Biotech Corporation (LEGN) and Lifevantage Corporation (LFVN) 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.

LEGN currently trades at $27.16 with a QOC of 1.7/10, while LFVN trades at $7.87 with a QOC of 9.0/10.

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).