Fairvalue-Calculator Fairvalue-Calculator
EN DE

Shanghai Shibei Hi-Tech Co (900902) Fair Value & Analysis

Real Estate · CN · Market cap $298M

Price$0.1580
Fair Value$0.1264
Upside-20.0%
Quality81/100
Evidence: Low Range $0.0704 – $0.1264

Fair value as of: Jun 26, 2026

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

Analysis

Shanghai Shibei Hi-Tech Co (900902) currently trades at $0.1580, while our model-based Fair Value estimate is $0.1264 — implying the stock looks roughly 20.0% overvalued today. We read business quality at 81/100 (high quality), in the Real Estate 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

Shanghai Shibei Hi-Tech Co.,Ltd. engages in the development and operation of real estate properties in China. The company develops and operates industrial parks, integrated enterprise services, and industrial investment in Shibei High-tech Park. It also engages in industrial investment incubation and industrial service integration businesses. The company was founded in 1991 and is based in Shanghai, China.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is Shanghai Shibei Hi-Tech Co (900902) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.1264 versus a price of $0.1580 — about −20% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 900902?
Our 21-model fair value for Shanghai Shibei Hi-Tech Co is $0.1264 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.1580.
What is the quality score of 900902?
Shanghai Shibei Hi-Tech 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.