Hangzhou Sunrise Technology Co (300360) Fair Value & Analysis
Technology · CN · Market cap 6.5B CNY
Analysis
Hangzhou Sunrise Technology Co (300360) currently trades at ¥12.44, while our model-based Fair Value estimate is ¥21.72 — implying the stock looks roughly 74.6% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Hangzhou Sunrise Technology Co.,Ltd., together with its subsidiaries, operates in the electrical instrumentation industry in the People's Republic of China and internationally. The company offers energy meters and charging piles, as well as AMI, smart charging operations, and smart water meter solutions. It also provides smart metering and collection systems; intelligent power terminals and systems; intelligent flow meter and systems; intelligent power distribution products and systems; IoT smart water meter and smart water services; and IoT products, such as IoT sensors and accessories, and integrated energy service solutions. In addition, the company offers electric energy metering instruments and power consumption information collection systems. Further, it engages in industry investment, manufacturing, software, and other financial activities. Hangzhou Sunrise Technology Co.,Ltd. was founded in 2001 and is headquartered in Hangzhou, 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.