MIXI, Inc (MIXIF) Fair Value & Analysis
Communication Services · US · Market cap $1.7B
Analysis
MIXI, Inc (MIXIF) currently trades at $21.28, while our model-based Fair Value estimate is $36.41 — implying the stock looks roughly 71.1% undervalued today. We read business quality at 93/100 (high quality), in the Communication Services 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
MIXI, Inc. engages in the sports, digital entertainment, lifestyle, and investment businesses in Japan. It offers TIPSTAR, a service that offers online betting tickets and live broadcasts; Fansta, a service for finding sports bars; keitan, an auto race app; Chariloto, a site to sell Keirin and auto race betting tickets; Chiba Jets Funabashi, a professional basketball team in the B.LEAGUE; F.C.Tokyo, a Japan professional football league club team; netkeiba.com, a horse racing media; Weekly Baseball Online, a baseball information site; and netkeirin that provides various content. The company also offers MIXI M, a platform to integrate personal and payment information, and assets; Monster Strike, Monster Strike Stadium, Kotodaman, and MSonic; MONSTORE, the monster strike online store; MIXI_ANIME and Monstore, an online store; PROMARE, and Pandora and Akubi, an animated movie; Fight League: Gear Gadget Generator, an animated series; and XPICE, a short animation. In addition, it provides…
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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.