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Genimous Technology Co (000676) Fair Value & Analysis

Communication Services · CN · Market cap 7.1B CNY

Price¥5.60
Fair Value¥3.34
Upside-40.4%
Quality90/100
Evidence: Medium Range ¥2.53 – ¥4.58

Fair value as of: Jun 25, 2026

Analysis

Genimous Technology Co (000676) currently trades at ¥5.60, while our model-based Fair Value estimate is ¥3.34 — implying the stock looks roughly 40.4% overvalued today. We read business quality at 90/100 (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

Genimous Technology Co., Ltd. engages in Internet media, digital marketing, and Internet finance businesses in China and internationally. It serves fast-moving consumer goods, finance, Internet services, entertainment, maternal and child care, beauty, daily chemicals, automobiles, and luxury goods industries. The company was formerly known as Genimous Investment Co., Ltd. and changed its name to Genimous Technology Co., Ltd. in August 2016. Genimous Technology Co., Ltd. was founded in 1996 and is based in Guangzhou, China.

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Frequently asked questions

Is Genimous Technology Co (000676) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥3.34 versus a price of ¥5.60 — about −40% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 000676?
Our 21-model fair value for Genimous Technology Co is ¥3.34 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥5.60.
What is the quality score of 000676?
Genimous Technology Co has a Quality Score of 90/100, 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.