Douglas Dynamics, Inc (PLOW) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.1B
Analysis
Douglas Dynamics, Inc (PLOW) currently trades at $49.38, while our model-based Fair Value estimate is $38.81 — implying the stock looks roughly 21.4% 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
Douglas Dynamics, Inc. operates as a manufacturer and upfitter of commercial vehicle attachments and equipment in North America. It operates in two segments, Work Truck Attachments and Work Truck Solutions. The Work Truck Attachments segment manufactures and sells snow and ice control attachments, and other products sold under the FISHER, WESTERN, and SNOWEX brands, as well as truck-mounted service cranes and dump hoists under the VENCO and VENTURO brands. The Work Truck Solutions segment engages in the manufacturing of municipal snow and ice control products under the HENDERSON brand; and upfit of attachments and storage under the HENDERSON and DEJANA brands, and related sub brands. The company also provides customized turnkey solutions to governmental agencies, such as departments of transportation and municipalities. It sells its products through a distributor network primarily to professional snowplowers who are contracted to remove snow and ice from commercial and residential a…
Open the full interactive analysis →
Similar stocks
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.