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Tangel Culture Co (300148) Fair Value & Analysis

Communication Services · CN · Market cap 2.8B CNY

Price¥3.30
Fair Value¥1.37
Upside-58.5%
Quality81/100
Evidence: Medium Range ¥1.02 – ¥1.71

Fair value as of: Jun 24, 2026

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Analysis

Tangel Culture Co (300148) currently trades at ¥3.30, while our model-based Fair Value estimate is ¥1.37 — implying the stock looks roughly 58.5% overvalued today. We read business quality at 81/100 (high quality), in the Communication 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

Tangel Culture Co., Ltd. engages in the research and development, distribution, agency, and operation of mobile games, book publishing and distribution, and educational businesses in China. The company was founded in 1983 and is headquartered in Changsha, China.

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Frequently asked questions

Is Tangel Culture Co (300148) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥1.37 versus a price of ¥3.30 — about −58% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 300148?
Our 21-model fair value for Tangel Culture Co is ¥1.37 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥3.30.
What is the quality score of 300148?
Tangel Culture Co has a Quality Score of 81/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.