KHC vs PLAG

The Kraft Heinz Company vs Planet Green Holdings Corp. — Valuation Comparison 2026

KHC

Canned, Frozen & Preservd Fruit, Veg & Food Specialties
The Kraft Heinz Company
Quality
6.9
out of 10
Value Trap
13
SAFE
Price
$24.01
Last close
Models
12/13
Active
VS

PLAG

Canned, Frozen & Preservd Fruit, Veg & Food Specialties
Planet Green Holdings Corp.
Quality
3.9
out of 10
Value Trap
47
WARN
Price
$1.55
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType KHC Fair ValueKHC Upside PLAG Fair ValuePLAG Upside
Bayesian DCF Intrinsic $51.61 +114.9% $0.65 -58.2%
Earnings Power Value Intrinsic $66.56 +177.2% $3.60 +97.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 KHC vs PLAG — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

KHC vs PLAG — Which Stock Is More Undervalued?

KHC scores higher with a 6.9/10 quality rating vs PLAG's 3.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing The Kraft Heinz Company (KHC) and Planet Green Holdings Corp. (PLAG) 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.

KHC currently trades at $24.01 with a QOC of 6.9/10, while PLAG trades at $1.55 with a QOC of 3.9/10.

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).