Titan Machinery Inc (TITN) Fair Value & Analysis
Industrials · US · Market cap $472M
Analysis
Titan Machinery Inc (TITN) currently trades at $20.99, while our model-based Fair Value estimate is $29.97 — implying the stock looks roughly 42.8% undervalued today. We read business quality at 97/100 (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 Machinery Inc. owns and operates a network of full service agricultural and construction equipment stores in the United States, Europe, and Australia. The company operates through four segments: Agriculture, Construction, Europe, and Australia. It sells new and used equipment, including agricultural and construction equipment manufactured under the CNH Industrial family of brands, as well as equipment from various other manufacturers. The company offers agricultural equipment, including machinery and attachments for use in the production of food, fiber, feed grain, feedstock, and renewable energy; and home and garden applications, as well as maintenance of commercial, residential, and government properties. It also provides construction equipment, such as heavy construction machinery, light industrial machinery for commercial and residential construction, and road and highway construction machinery. In addition, the company offers repair and maintenance services that include w…
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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.