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Intsig Information Co (688615) Fair Value & Analysis

Technology · CN · Market cap 22.8B CNY

Price¥122.99
Fair Value¥58.83
Upside-52.2%
Quality95/100
Evidence: High Range ¥45.40 – ¥72.25

Analysis

Intsig Information Co (688615) currently trades at ¥122.99, while our model-based Fair Value estimate is ¥58.83 — implying the stock looks roughly 52.2% overvalued today. We read business quality at 95/100 (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

Intsig Information Co., Ltd. research and develops text recognition and commercial big data core technologies in China. The company offers CamCard, a business card and contact management app; CamScanner, a scanning and text recognition app; Qixinbao, an enterprise information query app; Qixin Insight SaaS Platform; and TextIn product. It also provides enterprise database, enterprise data API, standardized data service applications, and enterprise customization services; intelligent text recognition solutions, including scene-base intelligent text recognition engine, contact robot, general intelligent text recognition engine, intelligent image processing engine, intelligent document extraction, and general document parcing. The company provides its solutions for banks, securities, insurance, government parks, supply chains, ecological cooperation, healthcare, and financial digitization sectors. IntSig Information Co., Ltd. was founded in 2006 and is based in Shanghai, China.

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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.