CBT vs FSI

Cabot Corporation vs Flexible Solutions Internationa — Valuation Comparison 2026

CBT

Miscellaneous Chemical Products
Cabot Corporation
Quality
9.7
out of 10
Value Trap
6
SAFE
Price
$87.51
Last close
Models
13/13
Active
VS

FSI

Miscellaneous Chemical Products
Flexible Solutions Internationa
Quality
7.8
out of 10
Value Trap
6
SAFE
Price
$6.65
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType CBT Fair ValueCBT Upside FSI Fair ValueFSI Upside
Bayesian DCF Intrinsic $37.00 -57.7% $0.26 -96.0%
Earnings Power Value Intrinsic $53.86 -38.5% $0.13 -98.1%
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 CBT vs FSI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CBT vs FSI — Which Stock Is More Undervalued?

CBT scores higher with a 9.7/10 quality rating vs FSI's 7.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Cabot Corporation (CBT) and Flexible Solutions Internationa (FSI) 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.

CBT currently trades at $87.51 with a QOC of 9.7/10, while FSI trades at $6.65 with a QOC of 7.8/10.

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).