Commercial Vehicle Group (CVGI) Fair Value & Analysis
Consumer Cyclical · US · Market cap $164M
Fair value as of: Jun 25, 2026
Analysis
Commercial Vehicle Group (CVGI) currently trades at $4.61, while our model-based Fair Value estimate is $2.12 — implying the stock looks roughly 54.0% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Commercial Vehicle Group, Inc., together with its subsidiaries, provides systems, assemblies, and components to the vehicle market and electric vehicle markets in North America, Europe, and the Asia-Pacific. The company operates in three segments: Global Seating, Global Electrical Systems, and Trim Systems and Components. The Global Seating segment designs, manufactures, and sells vehicle seats for the vehicle markets, including heavy duty (HD)trucks, medium duty (MD) trucks, last mile delivery trucks and vans, and construction and agriculture equipment; seats and components; and office seats. The Global Electrical Systems segment designs, manufactures, and sells cable and harness assemblies for high and low voltage applications, control boxes, dashboard assemblies, and design and engineering applications; and markets products for the construction, agricultural, industrial, automotive, truck, mining, rail, marine, power generation, and military/defense industries. The Trim Systems a…
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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.