LEE vs TDAY

Lee Enterprises, Incorporated vs USA TODAY Co., Inc. — Valuation Comparison 2026

LEE

Newspapers: Publishing or Publishing & Printing
Lee Enterprises, Incorporated
Quality
5.3
out of 10
Value Trap
52
WARN
Price
$10.91
Last close
Models
8/13
Active
VS

TDAY

Newspapers: Publishing or Publishing & Printing
USA TODAY Co., Inc.
Quality
7.1
out of 10
Value Trap
24
SAFE
Price
$7.81
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType LEE Fair ValueLEE Upside TDAY Fair ValueTDAY Upside
Bayesian DCF Intrinsic $2.20 -71.8%
Earnings Power Value Intrinsic $13.86 +73.7% $1.52 -79.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $9.46 -13.3% $3.45 -55.8%
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 LEE vs TDAY — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

LEE vs TDAY — Which Stock Is More Undervalued?

TDAY scores higher with a 7.1/10 quality rating vs LEE's 5.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Lee Enterprises, Incorporated (LEE) and USA TODAY Co., Inc. (TDAY) 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.

LEE currently trades at $10.91 with a QOC of 5.3/10, while TDAY trades at $7.81 with a QOC of 7.1/10.

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).