TANH vs WLK

Tantech Holdings Ltd. vs Westlake Corporation — Valuation Comparison 2026

TANH

Industrial Organic Chemicals
Tantech Holdings Ltd.
Quality
1.6
out of 10
Value Trap
Price
$0.43
Last close
Models
9/13
Active
VS

WLK

Industrial Organic Chemicals
Westlake Corporation
Quality
4.4
out of 10
Value Trap
12
SAFE
Price
$86.83
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType TANH Fair ValueTANH Upside WLK Fair ValueWLK Upside
Bayesian DCF Intrinsic $0.09 -79.4% $22.69 -73.9%
Earnings Power Value Intrinsic $0.59 +62.5% $34.05 -60.8%
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 TANH vs WLK — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TANH vs WLK — Which Stock Is More Undervalued?

WLK scores higher with a 4.4/10 quality rating vs TANH's 1.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Tantech Holdings Ltd. (TANH) and Westlake Corporation (WLK) 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.

TANH currently trades at $0.43 with a QOC of 1.6/10, while WLK trades at $86.83 with a QOC of 4.4/10.

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).