Terex Corporation (TEX) Fair Value & Analysis
Industrials · US · Market cap $7.2B
Analysis
Terex Corporation (TEX) currently trades at $67.94, while our model-based Fair Value estimate is $30.55 — implying the stock looks roughly 55.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Terex Corporation manufactures industrial equipment for materials processing machinery, waste and recycling solutions, mobile elevating work platforms, and equipment for the electric utility industry worldwide. The MP segment offers crushers, washing systems, screens, trommels, apron feeders, material handlers, pick and carry cranes, wood processing, biomass and recycling equipment, concrete mixer trucks and concrete pavers, conveyors, and replacement parts under the Terex, Powerscreen, Fuchs, EvoQuip, Canica, Cedarapids, CBI, Simplicity, Franna, Terex Ecotec, Finlay, ProAll, ZenRobotics, Terex Washing Systems, Terex MPS, Terex Jaques, Advance, Bid-Well, MDS, MARCO, MAGNA, Green-Tec, and Terex Recycling Systems brands. Its products are used in construction, infrastructure, and recycling projects; quarrying, mining, and material handling applications; maintenance applications to lift equipment or material; and landscaping and biomass production industries. The Aerials segment provide…
Open the full interactive analysis →
Similar stocks
How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.