Twin Disc, Incorporated (TWIN) Fair Value & Analysis
Industrials · US · Market cap $323M
Fair value as of: Jun 25, 2026
Analysis
Twin Disc, Incorporated (TWIN) currently trades at $22.37, while our model-based Fair Value estimate is $7.87 — implying the stock looks roughly 64.8% 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
Twin Disc, Incorporated engages in the design, manufacture, and sale of marine and heavy duty off-highway power transmission equipment in the United States, the Netherlands, China, Australia, Finland, Italy, and internationally. The company operates in two segments, Manufacturing and Distribution. It offers marine transmissions, azimuth drives, surface drives, propellers, and boat management systems, as well as power-shift transmissions, hydraulic torque converters, power take-offs, industrial clutches, and controls and braking systems. The company also provides third-party manufactured products. It sells its products through a direct sales force and distributor network to customers primarily in the pleasure craft, commercial marine, patrol, and military marine markets, as well as in the energy and natural resources, government, agriculture, recycling, construction, oil and gas, and industrial markets. The company was incorporated in 1918 and is headquartered in Milwaukee, Wisconsin.
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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.