Fairvalue-Calculator Fairvalue-Calculator
EN DE

Cosmos Group (002133) Fair Value & Analysis

Real Estate · CN · Market cap 2.1B CNY

Price¥2.47
Fair Value¥4.94
Upside+100.0%
Quality92/100
Evidence: High Range ¥3.37 – ¥6.51

Fair value as of: Jun 26, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

Cosmos Group (002133) currently trades at ¥2.47, while our model-based Fair Value estimate is ¥4.94 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 92/100 (high quality), in the Real Estate 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

Cosmos Group Co., Ltd. engages in the real estate development and trading business in China. The company was founded in 1984 and is headquartered in Hangzhou, China.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is Cosmos Group (002133) undervalued?
As of Jun 26, 2026, our model estimates a fair value of ¥4.94 versus a price of ¥2.47 — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 002133?
Our 21-model fair value for Cosmos Group is ¥4.94 (as of Jun 26, 2026), built from audited fundamentals. The current price is ¥2.47.
What is the quality score of 002133?
Cosmos Group has a Quality Score of 92/100, 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.