Virco Mfg. Corporation (VIRC) Fair Value & Analysis
Consumer Cyclical · US · Market cap $106M
Fair value as of: Jun 25, 2026
Analysis
Virco Mfg. Corporation (VIRC) currently trades at $6.75, while our model-based Fair Value estimate is $3.43 — implying the stock looks roughly 49.2% overvalued today. We read business quality at 97/100 (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
Virco Mfg. Corporation engages in the design, production, and distribution of furniture in the United States and Canada. The company offers seating products, including 4-leg chairs, cantilever chairs, mobile task chairs and lab stools, tablet armchairs, steel-frame and floor rockers, series stools, hard plastic seating, folding and upholstered stack chairs, and plastic stack and upholstered ergonomic chairs. It also provides activity, butcher block, folding, office, technology, mobile tables, mobile storage equipment, and student and teacher desks; desks and workstations and instructor media stations and towers; chair desks and combo units, tablet arm, mobile workstations, student desks, and returns and credenzas; and computer furniture solutions. In addition, the company provides administrative office furniture, including desks, returns, bookcases, and other items, as well as steel storage cabinets, wardrobe tower cabinets, file credenzas, and mobile pedestals; laboratory furniture…
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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.