Winnebago Industries, Inc (WGO) Fair Value & Analysis
Consumer Cyclical · US · Market cap $771M
Analysis
Winnebago Industries, Inc (WGO) currently trades at $27.27, while our model-based Fair Value estimate is $20.00 — implying the stock looks roughly 26.7% 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
Winnebago Industries, Inc. manufactures and sells recreation outdoor lifestyle products primarily for use in leisure travel and outdoor recreation activities. It operates through three segments: Towable RV, Motorhome RV, and Marine. The company provides towable products that are non-motorized vehicles to be towed by automobiles, pickup trucks, SUVs, or vans for use as temporary living quarters, such as conventional travel trailers, fifth wheels, folding camper trailers, truck campers, and park models under the Winnebago and Grand Design brand names. It also offers motorhome RV, a self-propelled mobile dwelling used primarily as temporary living quarters during vacation and camping trips, or to support active and mobile lifestyles under the Winnebago, Newmar, and Grand Design brand names. In addition, the company offers other specialty commercial vehicles for law enforcement command centers, mobile medical clinics, and mobile office spaces; commercial vehicles as bare shells to third…
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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.