Titan International, Inc (TWI) Fair Value & Analysis
Industrials · US · Market cap $469M
Analysis
Titan International, Inc (TWI) currently trades at $7.51, while our model-based Fair Value estimate is $9.86 — implying the stock looks roughly 31.3% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Titan International, Inc., together with its subsidiaries, manufactures and sells wheels, tires, and undercarriage systems and components for off-highway industry in North America, Europe, CIS, Latin America, Asia, and internationally. It operates through Agricultural, Earthmoving/Construction, and Consumer segments. The company offers wheels, tires, and components for various agricultural equipment, including tractors, combines, skidders, plows, planters, and irrigation equipment; and agricultural tires under the Goodyear Farm Tire, Titan Tire, Carlstar, ACES, and Voltyre-Prom brands. It also provides wheels, tires, and undercarriage systems and components for various types of off-the-road earthmoving, mining, military, construction, and forestry equipment, such as skid steers, aerial lifts, cranes, graders and levelers, scrapers, self-propelled shovel loaders, articulated dump trucks, load transporters, haul trucks, backhoe loaders, crawler tractors, lattice cranes, shovels, and h…
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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.