Leatt Corporation (LEAT) Fair Value & Analysis
Consumer Cyclical · US · Market cap $75.1M
Fair value as of: Jun 24, 2026
Analysis
Leatt Corporation (LEAT) currently trades at $12.08, while our model-based Fair Value estimate is $9.88 — implying the stock looks roughly 18.2% 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: high).
About the company
Leatt Corporation designs, develops, markets, and distributes personal protective equipment for participants of motor sports and leisure activities in South Africa and internationally. The company offers Leatt-Brace system, an injection molded neck protection system designed to prevent injuries to the cervical spine and neck. It also provides helmets for head and brain protection; and body armor products, including chest protectors, full upper body protectors, upper body protection vests, back protectors, knee braces, knee and elbow guards, off-road motorcycle boots, and mountain biking shoes. In addition, the company offers other products, parts, and accessories, such as goggles and hydrations bags, as well as apparel items that comprise suits, jackets, jerseys, pants, shorts, socks, gloves, sunglasses, and bicycle components; and aftermarket support products; toolbelt, duffel, gear, and helmet bags; backpacks, hats, and hydration kits; and casual clothing and caps. Further, it act…
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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.