Value Line, Inc (VALU) Fair Value & Analysis
Financial Services · US · Market cap $327M
Fair value as of: Jun 26, 2026
Analysis
Value Line, Inc (VALU) currently trades at $36.39, while our model-based Fair Value estimate is $27.96 — implying the stock looks roughly 23.2% overvalued today. We read business quality at 95/100 (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: high).
About the company
Value Line, Inc. engages in the production and sale of investment periodicals and related publications. Its investment periodicals and related publications cover a range of investments, including stocks, mutual funds, exchange traded funds (ETFs), and options. The company offers comprehensive research services, including The Value Line Investment Survey - Small and Mid-Cap, The Value Line 600, and The Value Line Fund Advisor Plus that provide statistical and text coverage of various investment securities, with an emphasis placed on its proprietary research, analysis, and statistical ranks. It also provides niche newsletters comprising Value Line Select: Dividend Income & Growth, Value Line Select: ETFs, The Value Line Special Situations Service, The Value Line M&A Service, The Value Line Climate Change Investing Service, and The Value Line Information You Should Know Wealth Newsletter; digital versions of its products through its Website, www.valueline.com; investment management; Th…
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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.