Gates Industrial Corporation (GTES) Fair Value & Analysis
Industrials · US · Market cap $6.6B
Analysis
Gates Industrial Corporation (GTES) currently trades at $27.25, while our model-based Fair Value estimate is $14.41 — implying the stock looks roughly 47.1% overvalued today. We read business quality at 88/100 (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: medium).
About the company
Gates Industrial Corporation plc manufactures and sells engineered power transmission and fluid power solutions in the United States, rest of North America, South America, the United Kingdom, Luxembourg, rest of Europe, the Middle East, Africa, India, East Asia, and Greater China. It operates through two segments, Power Transmission and Fluid Power. The company offers solutions for stationary and mobile drives, engine systems, and personal mobility application platforms; elastomer drive belts; asynchronous and synchronous belts, including V-belts, continuously-variable transmission belts, and Micro-V belts; metal drive components, such as tensioners, idlers, pulleys, sprockets, mechanical water pumps, and other accessories used in belt drive systems; and kits for the automotive replacement channel. It also provides fluid power solutions for stationary and mobile hydraulics, vehicle systems, and other industrial application platforms; hydraulics comprising hoses, tubing, couplings, a…
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.