Track Data Corporation (TRAC) Fair Value & Analysis
Financial Services · US · Market cap $1.7M
Fair value as of: Jun 26, 2026
Analysis
Track Data Corporation (TRAC) currently trades at $0.1000, while our model-based Fair Value estimate is $0.0832 — implying the stock looks roughly 16.8% overvalued today. We read business quality at 89/100 (high quality), in the Financial Services 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
Track Data Corporation, Inc. provides market data, financial information, quote systems, and trading platforms for professional and individual traders in the United States and internationally. The company offers market data and research solutions, such as FastTrack-MX, an institutional grade application that provides faster quotes, unique news items, advanced option data, or in-depth charting applications; and myTrack Pro, a quote, portfolio, and news service. It also offers trading solutions, including myTrack, a Web-based market data and trading software platform; proTrack, an advanced execution and market data platform designed for the institutional marketplace; myTrack Edge, a direct access online trading platform. In addition, the company provides NewsWatch that delivers news and information from different sources worldwide; Track SDK, an application program interface that gives market data; OpTrack, an option strategy search and rank tool; AIQ Trading Expert Pro, a trading sof…
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Frequently asked questions
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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.