Innovative Designs, Inc (IVDN) Fair Value & Analysis
Consumer Cyclical · US · Market cap $9.2M
Fair value as of: Jun 24, 2026
Analysis
Innovative Designs, Inc (IVDN) currently trades at $0.2700, while our model-based Fair Value estimate is $0.2100 — implying the stock looks roughly 22.2% 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: high).
About the company
Innovative Designs, Inc. manufactures and sells cold weather recreational and industrial clothing products in the United States and Canada. It operates in two segments, Apparel and House Wrap. The company offers arctic armor line products, including jackets, bibs, and gloves for ice fisherman, snowmobilers, utility workers, oil/gas pipeline workers, railroad workers, construction workers, ski resort workers, and police and first responders; and house wrap that provides barrier protection and moisture vapor transmission and insulation for the building construction industry. It also provides insultex material in bulk to non-competing customers; products that restore the waterproof character of the outer side of its arctic armor clothing; and cold weather headgears and base insulation clothing products. The company sells its products through independent sales agents, agencies, retailers, and distributors, as well as through website. The company was incorporated in 2002 and is based in …
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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.