SES vs SPB

SES AI Corporation vs Spectrum Brands Holdings, Inc. — Valuation Comparison 2026

SES

Miscellaneous Electrical Machinery, Equipment & Supplies
SES AI Corporation
Quality
4.7
out of 10
Value Trap
30
LOW
Price
$1.31
Last close
Models
11/13
Active
VS

SPB

Miscellaneous Electrical Machinery, Equipment & Supplies
Spectrum Brands Holdings, Inc.
Quality
8.7
out of 10
Value Trap
27
LOW
Price
$78.69
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType SES Fair ValueSES Upside SPB Fair ValueSPB Upside
Bayesian DCF Intrinsic $0.36 -72.5% $63.23 -19.6%
Earnings Power Value Intrinsic $0.63 -40.4% $67.75 -13.9%
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 SES vs SPB — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SES vs SPB — Which Stock Is More Undervalued?

SPB scores higher with a 8.7/10 quality rating vs SES's 4.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing SES AI Corporation (SES) and Spectrum Brands Holdings, Inc. (SPB) 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.

SES currently trades at $1.31 with a QOC of 4.7/10, while SPB trades at $78.69 with a QOC of 8.7/10.

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).