PPC vs TSN

Pilgrim's Pride Corporation vs Tyson Foods, Inc. — Valuation Comparison 2026

PPC

Poultry Slaughtering and Processing
Pilgrim's Pride Corporation
Quality
9.9
out of 10
Value Trap
Price
$28.31
Last close
Models
11/13
Active
VS

TSN

Poultry Slaughtering and Processing
Tyson Foods, Inc.
Quality
8.1
out of 10
Value Trap
8
SAFE
Price
$61.02
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType PPC Fair ValuePPC Upside TSN Fair ValueTSN Upside
Bayesian DCF Intrinsic $15.83 -44.1% $26.49 -56.6%
Earnings Power Value Intrinsic $44.89 +58.6% $31.89 -47.7%
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 PPC vs TSN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

PPC vs TSN — Which Stock Is More Undervalued?

PPC scores higher with a 9.9/10 quality rating vs TSN's 8.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Pilgrim's Pride Corporation (PPC) and Tyson Foods, Inc. (TSN) 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.

PPC currently trades at $28.31 with a QOC of 9.9/10, while TSN trades at $61.02 with a QOC of 8.1/10.

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).