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Richinfo Technology Co (300634) Fair Value & Analysis

Technology · CN · Market cap 9.9B CNY

Price¥22.47
Fair Value¥11.47
Upside-49.0%
Quality94/100
Evidence: High Range ¥9.13 – ¥13.81

Analysis

Richinfo Technology Co (300634) currently trades at ¥22.47, while our model-based Fair Value estimate is ¥11.47 — implying the stock looks roughly 49.0% 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

Richinfo Technology Co., Ltd. engages in the development and sales of software products in China. The company offers Rich AICloud, an enterprise-grade cloud computing solution for AI-native scenarios; Rich AIBox, an enterprise-level intelligent agent development and operation platform; Rich Agent, an application capability matrix; RichBoost, a training and inference acceleration platform targeting AI scenarios, such as large language models, text-to-image processing, and video generation; RichMoss, an ultra-large-scale computing cluster management platform; and RichNet, an AI-native cloud computing architecture. It also provides collaborative office products, including domestic IT email, AI-powered intelligent email assistant, and mobile office platform; smart channel products comprising 5G messaging CSP platform, intelligent outbound calling system, mobile application cloud development platform, digital human platform, unified search platform, rights center platform, private domain…

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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.