Linamar Corporation (LNR) Fair Value & Analysis
Consumer Cyclical · CA · Market cap C$6.1B
Analysis
Linamar Corporation (LNR) currently trades at C$101.13, while our model-based Fair Value estimate is C$217.17 — implying the stock looks roughly 114.7% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.
About the company
Linamar Corporation, together with its subsidiaries, manufactures and sells engineered products in Canada, Europe, the Asia Pacific, and rest of North America. It operates through two segments, Mobility and Industrial. The Mobility segment offers electrified products, including 3P3200, e3P4100, and 3P5700 eAxle gearboxes; utility and medium duty platform eAxles; FlexForm conformable hydrogen storage tanks; light duty beam eAxle; structure and chassis, including front and rear subframes, semi-trailing arms, front knuckles, battery enclosures, crossrails, shock towers, and cross car beams; driveline products, such as differential assemblies, power transfer and rear drive units, and engineered gears; transmission products, which comprises gears and shafts, gearbox housings, shaft and shell assemblies, and clutch modules; and engines, including cylinder blocks and heads, connecting rods, camshafts, and balance shaft modules for battery, hybrid, and fuel-cell electric vehicles. This segm…
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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.