Arhaus, Inc (ARHS) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.0B
Analysis
Arhaus, Inc (ARHS) currently trades at $7.07, while our model-based Fair Value estimate is $9.88 — implying the stock looks roughly 39.7% 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
Arhaus, Inc. operates as a premium retailer in the home furnishings market in the United States. The company offers bedroom, dining room, and living room, as well as home office furnishings, including sofas, dining tables and chairs, accent chairs, console and coffee tables, beds, headboards, dressers, desks, bookcases, modular storage, and other items; and outdoor products, such as outdoor dining tables, chairs, chaises and other furniture, lighting, textiles, décor, umbrellas, and fire pits. It also provides bath product assortment comprising vanities and storage pieces, faucets and hardware, and Turkish bath towels; lighting fixtures, including chandeliers, pendants, table and floor lamps, and sconces; indoor and outdoor rugs, bed linens, and pillows and throws; and décor products, such as wall art, mirrors, vases, candles, and other decorative accessories. The company distributes its products through an omni-channel model comprising showrooms, ecommerce, catalogs and digital med…
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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.