AVCON Information Technology Co (300074) Fair Value & Analysis
Technology · CN · Market cap 2.1B CNY
Fair value as of: Jun 24, 2026
Analysis
AVCON Information Technology Co (300074) currently trades at ¥3.76, while our model-based Fair Value estimate is ¥0.4700 — implying the stock looks roughly 87.5% overvalued today. We read business quality at 91/100 (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
AVCON Information Technology Co., Ltd. provides video products and applications in China and internationally. The company offers online education products, such as online classroom server and terminal, and classroom camera; digital surveillance products, that includes AMP monitoring and management platform, HTVS video wall terminal, MAS monitoring gateway, and network hard disk video recorder; video conferencing products, such as multipoint control unit, and wireless individual soldier; and general products, that includes recording and broadcasting servers, audio processors, microphone, and keyboard. It also provides emergency command products, such as integrated image management platform, portable routing center station, HD camera, wireless microphone, satellite portable station, command video terminal, individual soldier and vehicle, detachable aerial and injection truck image terminal, HD ball control, mobile office APP, APP management server, reduce scene image, IP video phone, …
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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.