Tennant Company (TNC) Fair Value & Analysis
Industrials · US · Market cap $1.5B
Analysis
Tennant Company (TNC) currently trades at $88.44, while our model-based Fair Value estimate is $36.77 — implying the stock looks roughly 58.4% 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
Tennant Company, together with its subsidiaries, designs, manufactures, and markets floor cleaning equipment in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers manual and autonomous mechanized cleaning equipment for industrial and commercial use, detergent-free and other sustainable cleaning technologies, aftermarket parts and consumables, and equipment maintenance and repair services. It also provides business solutions such as financing, rental and leasing programs, and machine-to-machine asset management solutions. In addition, the company offers robotic cleaning equipment; IRIS, an asset management solution; ec-H2O NanoClean, a detergent-free cleaning solution; and ReadySpace, a rapid-drying carpet cleaning technology. It offers its products under the Tennant, Nobles, Alfa Uma Empresa Tennant, IPC, Gaomei, and Rongen brands, as well as private-label brands. The company serves retail establishments, distribution centers, factories and wareh…
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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.