Sturm, Ruger & Company (RGR) Fair Value & Analysis
Industrials · US · Market cap $641M
Analysis
Sturm, Ruger & Company (RGR) currently trades at $40.96, while our model-based Fair Value estimate is $32.40 — implying the stock looks roughly 20.9% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Sturm, Ruger & Company, Inc., together with its subsidiaries, designs, manufactures, and sells firearms under the Ruger name and trademark in the United States. It operates in two segments, Firearms and Castings. The company offers single-shot, autoloading, bolt-action, and modern sporting rifles; rimfire and centerfire autoloading pistols; single-action and double-action revolvers; over-under shotguns; and firearms accessories and replacement parts, as well as manufactures lever-action rifles under the Marlin name and trademark. It also provides steel investment castings and metal injection molding (MIM) parts. The company sells its firearm products to the commercial sporting market through independent wholesale distributors; and its investment castings and MIM parts directly or through manufacturers' representatives. It also exports its firearm products through a network of selected commercial distributors and directly to foreign customers comprising primarily of law enforcement a…
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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.