Smith & Wesson Brands, Inc (SWBI) Fair Value & Analysis
Industrials · US · Market cap $736M
Analysis
Smith & Wesson Brands, Inc (SWBI) currently trades at $16.67, while our model-based Fair Value estimate is $9.09 — implying the stock looks roughly 45.5% overvalued today. We read business quality at 97/100 (high quality), in the Industrials 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
Smith & Wesson Brands, Inc. designs, manufactures, and sells firearms worldwide. The company offers handguns, including revolvers and pistols; long guns, such as modern sporting rifles, pistol caliber carbines, and lever-action rifles; handcuffs; suppressors; and other firearm-related products. It also provides manufacturing services comprising forging, heat treating, rapid prototyping, tooling, finishing, plating, machining, and custom plastic injection molding, assembly, and distribution services to other businesses; and sells parts purchased through third parties. The company sells its products to firearm enthusiasts, collectors, hunters, sportsmen, competitive shooters, individuals desiring home and personal protection, law enforcement, security agencies and officers, and military agencies. It markets its products through independent dealers, retailers, in-store retails, and direct to consumers, and rangeoperations; print, broadcast, and digital advertising campaigns; social and…
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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.