TLRY vs USNA

Tilray Brands, Inc. vs USANA Health Sciences, Inc. — Valuation Comparison 2026

TLRY

Medicinal Chemicals & Botanical Products
Tilray Brands, Inc.
Quality
6.8
out of 10
Value Trap
45
WARN
Price
$5.51
Last close
Models
10/13
Active
VS

USNA

Medicinal Chemicals & Botanical Products
USANA Health Sciences, Inc.
Quality
7.8
out of 10
Value Trap
31
LOW
Price
$18.30
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType TLRY Fair ValueTLRY Upside USNA Fair ValueUSNA Upside
Bayesian DCF Intrinsic $1.53 -72.2% $37.21 +103.3%
Earnings Power Value Intrinsic $16.19 -11.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $7.11 +29.0% $15.66 -14.4%
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 TLRY vs USNA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TLRY vs USNA — Which Stock Is More Undervalued?

USNA scores higher with a 7.8/10 quality rating vs TLRY's 6.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Tilray Brands, Inc. (TLRY) and USANA Health Sciences, Inc. (USNA) 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.

TLRY currently trades at $5.51 with a QOC of 6.8/10, while USNA trades at $18.30 with a QOC of 7.8/10.

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).