LCI Industries, (LCII) Fair Value & Analysis
Consumer Cyclical · US · Market cap $2.5B
Analysis
LCI Industries, (LCII) currently trades at $92.26, while our model-based Fair Value estimate is $165.77 — implying the stock looks roughly 79.7% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
LCI Industries, together with its subsidiaries, manufactures and supplies engineered components for the manufacturers of recreational vehicles (RVs) and adjacent industries in the United States and internationally. It operates through two segments, Original Equipment Manufacturers (OEM) and Aftermarket. The OEM segment manufactures and distributes a range of engineered components, such as steel chassis, axles, anti-lock braking systems, and suspension systems; manual, electric, and hydraulic stabilizer and leveling systems; awnings, slide-out mechanisms, and accessories; vinyl, aluminum, and frameless windows; entry, luggage, patio, and ramp doors; electric and manual entry steps and awnings; thermoformed bath and kitchen products; furniture, mattresses, tankless water heaters, air conditioners, appliances, electronic components, televisions, and sound systems; windshields; and hitches, pin boxes, grill guards, towing electrical, and towing and truck accessories. This segment serves…
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.