Simpson Manufacturing Co (SSD) Fair Value & Analysis
Basic Materials · US · Market cap $7.7B
Analysis
Simpson Manufacturing Co (SSD) currently trades at $197.71, while our model-based Fair Value estimate is $146.89 — implying the stock looks roughly 25.7% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Simpson Manufacturing Co., Inc., together with its subsidiaries, designs, engineers, manufactures, and sells structural solutions for wood, concrete, and steel connections in the North America, Europe, and the Asia Pacific. The company provides structural products for wood construction, such as connectors, fasteners, and lateral-force resisting systems; anchor, repair, protection and strengthening products including coatings, sealers, mortars, fiberglass and fiber-reinforced polymer systems and asphalt products. In addition, the company offers engineering and design services, as well as software solutions. It markets its products to the residential construction, industrial, commercial and infrastructure construction, remodeling and do-it-yourself markets. It offers engineering and design services. It serves its products to dealers, home centers, wood component manufacturers, OEM-relationships, distributors, and contractors industries. The company was founded in 1956 and is headquart…
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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.