Fairvalue-Calculator Fairvalue-Calculator

Jiangsu Cai Qin Technology Co (688182) Fair Value & Analysis

Technology · CN · Market cap 14.0B CNY

Price¥44.43
Fair Value¥6.01
Upside-86.5%
Quality94/100
Evidence: High Range ¥4.50 – ¥7.51

Analysis

Jiangsu Cai Qin Technology Co (688182) currently trades at ¥44.43, while our model-based Fair Value estimate is ¥6.01 — implying the stock looks roughly 86.5% overvalued today. We read business quality at 94/100 (high quality), in the Technology 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: high).

About the company

Jiangsu Cai Qin Technology Co., Ltd engages in the research and development, production, and sale of microwave dielectric ceramic components and in China and internationally. It produces dielectric filters, resonators, duplexers, aerospace products, and multiplexers, and satellite timing antennas. The company serves mobile communications, satellite, navigation and positioning, satellite communications, aerospace, electronic devices, internet of everything, automotive industry, and other fields. Jiangsu Cai Qin Technology Co., Ltd was founded in 2004 and is based in JiangSu, China.

Open the full interactive analysis →

Similar stocks

Hon Hai Precision Industry Co (HHPD) -1% Delta Electronics, Inc (2308) -80% Amphenol Corporation (APH) -56% Corning Incorporated (GLW) -86% Samsung Electro-Mechanics Co (009150) -83% Luxshare Precision Industry Co (002475) -69%

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.