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Tancheng Group (QSJC) Fair Value & Analysis

Consumer Cyclical · US · Market cap $723K

Price$0.1651
Fair Value$0.1200
Upside-27.3%
Quality91/100
Evidence: Low Range $0.0900 – $0.1500

Fair value as of: Jun 23, 2026

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Analysis

Tancheng Group (QSJC) currently trades at $0.1651, while our model-based Fair Value estimate is $0.1200 — implying the stock looks roughly 27.3% overvalued today. We read business quality at 91/100 (high quality), in the Consumer Cyclical 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: low).

About the company

Tancheng Group Co., Ltd. engages in the sale of self-designed ornament and adornment products through its online store in the People's Republic of China. It offers Chinese twelve zodiac pendants, Jue Cheng ornament, and master Hongyi's heart sutra products. The company was formerly known as Bigeon and changed its name to Tancheng Group Co., Ltd. in October 2022. The company was incorporated in 2018 and is headquartered in Taiyuan, the People's Republic of China. Tancheng Group Co., Ltd. is a subsidiary of Zhan Jue Cheng Limited.

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Frequently asked questions

Is Tancheng Group (QSJC) undervalued?
As of Jun 23, 2026, our model estimates a fair value of $0.1200 versus a price of $0.1651 — about −27% (overvalued). Model-based estimate, not financial advice.
What is the fair value of QSJC?
Our 21-model fair value for Tancheng Group is $0.1200 (as of Jun 23, 2026), built from audited fundamentals. The current price is $0.1651.
What is the quality score of QSJC?
Tancheng Group has a Quality Score of 91/100, 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.