LEE vs NYT

Lee Enterprises, Incorporated vs New York Times Company (The) — 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

NYT

Newspapers: Publishing or Publishing & Printing
New York Times Company (The)
Quality
9.8
out of 10
Value Trap
17
SAFE
Price
$75.21
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType LEE Fair ValueLEE Upside NYT Fair ValueNYT Upside
Bayesian DCF Intrinsic $38.37 -49.0%
Earnings Power Value Intrinsic $13.86 +73.7% $22.14 -70.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $9.46 -13.3% $76.68 +2.0%
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 $•••.•• ••.•% $•••.•• ••.•%
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LEE vs NYT — Which Stock Is More Undervalued?

NYT scores higher with a 9.8/10 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 New York Times Company (The) (NYT) 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 NYT trades at $75.21 with a QOC of 9.8/10.

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).