Polaris Inc (PII) Fair Value & Analysis
Consumer Cyclical · US · Market cap $3.9B
Analysis
Polaris Inc (PII) currently trades at $68.68, while our model-based Fair Value estimate is $58.25 — implying the stock looks roughly 15.2% 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: medium).
About the company
Polaris Inc. designs, engineers, manufactures, and markets powersports vehicles in the United States, Canada, and internationally. It operates through three segments: Off Road, On Road, and Marine. The company offers off-road vehicles (ORVs), including all-terrain vehicles and side-by-side vehicles; military and commercial ORVs; snowmobiles; motorcycles; moto-roadsters; quadricycles; and pontoon and deck boats. It also provides source parts, garments, and accessories, such as helmets, jackets, gloves, pants, and hats; and snowmobile accessories comprising covers, traction products, reverse kits, electric starters, tracks, pull-behinds, bags, and windshields, as well as gear and apparel for its snowmobiles consisting of helmets, jackets, goggles, gloves, boots, bibs, pants, and hats. In addition, the company offers ORV accessories, including winches, bumper/brushguards, plows, racks, wheels and tires, cab systems, lighting and audio systems, cargo box accessories, and tracks, as well…
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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.