Educational Development Corporation (EDUC) Fair Value & Analysis
Communication Services · US · Market cap $12.7M
Fair value as of: Jun 25, 2026
Analysis
Educational Development Corporation (EDUC) currently trades at $1.52, while our model-based Fair Value estimate is $3.43 — implying the stock looks roughly 125.7% undervalued today. We read business quality at 97/100 (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
Educational Development Corporation distributes children's books, educational toys and games, and related products in the United States. It operates through two segments, PaperPie and Publishing. The company sells various books, including touchy-feely board books, activity books and flashcards, adventure and search books, art books, sticker books, and foreign language books; learning manipulatives and toys; internet-linked books; science and math titles; and chapter books and novels. It offers its products under the Kane Miller, SmartLab Toys, and Learning Wrap-Ups brands. The company markets its products through independent sales representatives who host home parties, collaborate on social media platforms on the internet, host book fairs with schools and public libraries, and participate in other events, as well as through commissioned sales representatives, an in-house sales group, and an internal tele-sales group. It serves individual purchasers, schools, public libraries, nation…
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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.