Sichuan Tianyi Comheart Telecom Co (300504) Fair Value & Analysis
Technology · CN · Market cap 5.1B CNY
Fair value as of: Jun 24, 2026
Analysis
Sichuan Tianyi Comheart Telecom Co (300504) currently trades at ¥19.35, while our model-based Fair Value estimate is ¥7.92 — implying the stock looks roughly 59.1% 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: medium).
About the company
Sichuan Tianyi Comheart Telecom Co., Ltd. engages in the research and development, production, sales, and service of communication equipment related products in China. Its products include broadband network terminal equipment, communication network physical connection and protection equipment, mobile communication network optimization system equipment, and heat shrinkable products, as well as system integration services. The company also engages in the design and installation of communication, lightning arrester, optical fiber, and computer network engineering; sales of photoelectric equipment accessories, communication lightning arrester, mechanical equipment, electronic products, computers, computer software, hardware, and auxiliary equipment, optical communication equipment, mobile communication equipment, and digital video surveillance systems; and import and export of goods and technologies, as well as leasing of equipment. In addition, it provides technology development and te…
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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.