Myers Industries, Inc (MYE) Fair Value & Analysis
Consumer Cyclical · US · Market cap $893M
Analysis
Myers Industries, Inc (MYE) currently trades at $27.92, while our model-based Fair Value estimate is $15.06 — implying the stock looks roughly 46.1% overvalued today. We read business quality at 95/100 (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: high).
About the company
Myers Industries, Inc. engages in distribution of tire service supplies in Ohio. The company operates through two segments, The Material Handling and Distribution. The Material Handling segment designs, manufactures, and markets plastic, metal and rubber products, including plastic reusable containers, pallets, small parts bins, bulk shipping containers, OEM parts, storage and organization, custom plastic products, composite ground protection matting, consumer fuel containers and tanks for water, and fuel and waste handling, as well as offers injection molded, rotationally molded, compression molded or blow molded products. This segment serves industrial manufacturing, food processing, retail/wholesale products distribution, agriculture, automotive, recreational and marine vehicles, healthcare, appliance, bakery, electronics, textiles, construction, infrastructure, consumer markets, and other markets under Akro-Mils, Jamco, Buckhorn, Ameri-Kart, Scepter, Elkhart Plastics, Trilogy Pl…
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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.