Catapult Sports Ltd (CAZGF) Fair Value & Analysis
Technology · US · Market cap $706M
Analysis
Catapult Sports Ltd (CAZGF) currently trades at $2.10, while our model-based Fair Value estimate is $1.21 — implying the stock looks roughly 42.4% overvalued today. We read business quality at 97/100 (high quality), in the Technology 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
Catapult Sports Ltd, a sports science and analytics company, engages in the development and supply of technologies that improve the performance of athletes and sports teams in Australia, Europe, the Middle East, Africa, the Asia Pacific, and the Americas. The company operates in three segments: Performance & Health; Tactics & Coaching; and Media & Other. It engages in the development and sale of performance and health technology solutions, including wearable tracking and analytics, and athlete monitoring software solutions; tactical and coaching technology solutions comprising design. development, and supply of video analysis, editing, and publishing software solutions; and athlete management platform and analytics, as well as development and growth of a subscription online sport learning platform. The company also offers media licensing, athlete management, and professional services. It serves sporting teams, leagues, and associations, as well as prosumer athletes. The company was …
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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.