Hangzhou Hopechart IoT Technology Co (688288) Fair Value & Analysis
Technology · CN · Market cap 2.0B CNY
Fair value as of: Jun 24, 2026
Analysis
Hangzhou Hopechart IoT Technology Co (688288) currently trades at ¥19.15, while our model-based Fair Value estimate is ¥5.86 — implying the stock looks roughly 69.4% 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
Hangzhou Hopechart IoT Technology Co.,Ltd engages in the development, production, and sale of driving systems and advanced driver assistance systems (ADAS) in the People's Republic of China. The company offers intelligent network products, including intelligent driving systems and vehicle networking terminals; hardware, such as various types of driving recorders and T-BOX, sensors; and ADAS and other products that are used to record and store the driving speed, time, mileage, location, and other information of heavy trucks and other vehicles. It also provides smart cockpit products, which includes human-computer interaction terminals; and specific products, including vehicle central control screens, car instruments, and other cockpit products. In addition, the company offers vehicle central control panels, such as body control systems, door control systems, gateways, integrated temperature control systems, thermal management controllers, car air-conditioning controllers, car refrige…
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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.