ZHEJIANG NARADA POWER SOURCE Co (300068) Fair Value & Analysis
Industrials · CN · Market cap 3.7B CNY
Analysis
ZHEJIANG NARADA POWER SOURCE Co (300068) currently trades at ¥4.45, while our model-based Fair Value estimate is ¥7.08 — implying the stock looks roughly 59.1% undervalued today. We read business quality at 93/100 (high quality), in the Industrials 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: medium) — always confirm before acting.
About the company
ZHEJIANG NARADA POWER SOURCE Co. , Ltd. engages in the research, development, manufacture, sale, and service of lithium-ion batteries and systems, lead-acid batteries and systems, key hydrogen energy equipment, and lithium and lead resource recycling products. The company offers batteries, battery packs, battery cabinets and software management systems, etc. for use in new power energy storage, power frequency modulation, and peak shaving and valley filling. It also provides high-temperature energy-saving and environmental protection products, high-power batteries, nuclear-grade valve-regulated batteries, new lead-carbon batteries, battery products used in operator, data center, finance, rail transit, nuclear power, and other fields, as well as lithium resource regeneration products. In addition, the company offers key hydrogen energy equipment, and resource recycling products. The company was founded in 1994 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.