TEX vs XOS

Terex Corporation vs Xos, Inc. — Valuation Comparison 2026

TEX

Farm & Heavy Construction Machinery
Terex Corporation
Quality
8.6
out of 10
Value Trap
19
SAFE
Price
$59.17
Last close
Models
12/13
Active
VS

XOS

Farm & Heavy Construction Machinery
Xos, Inc.
Quality
6.9
out of 10
Value Trap
24
SAFE
Price
$2.29
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType TEX Fair ValueTEX Upside XOS Fair ValueXOS Upside
Bayesian DCF Intrinsic $31.72 -46.4% $7.66 +234.4%
Earnings Power Value Intrinsic $3.75 -93.9% $3.58 +103.6%
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 TEX vs XOS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TEX vs XOS — Which Stock Is More Undervalued?

TEX scores higher with a 8.6/10 quality rating vs XOS's 6.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Terex Corporation (TEX) and Xos, Inc. (XOS) 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.

TEX currently trades at $59.17 with a QOC of 8.6/10, while XOS trades at $2.29 with a QOC of 6.9/10.

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).