Luvu Brands, Inc (LUVU) Fair Value & Analysis
Consumer Cyclical · US · Market cap $2.3M
Fair value as of: Jun 26, 2026
Analysis
Luvu Brands, Inc (LUVU) currently trades at $0.0300, while our model-based Fair Value estimate is $0.0270 — implying the stock looks roughly 10.0% overvalued today. We read business quality at 92/100 (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
Luvu Brands, Inc. designs, manufactures, and markets various consumer lifestyle products worldwide. It offers sensuality and intimacy products under the Liberator brand; and bed therapy products, which is assistive in relieving medical conditions associated with acid reflux, surgery recovery, and chronic pain under the Avana brand. The company also provides daybeds, sofas, and beanbags made from virgin and re-purposed polyurethane foam under the Jaxx brand. In addition, it is involved in the purchase and resale of products to e-merchants, retailers, and e-commerce sites, as well as provision of contract manufacturing and fulfillment services. The company markets its products through various websites comprising liberator.com, jaxxliving.com, and avanacomfort.com, as well as through distributors, retailers, and e-tailers across various channels of adult, mass market, drug, and specialty accounts. The company was formerly known as Liberator, Inc. and changed its name to Luvu Brands, 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.