Veken Technology Co (600152) Fair Value & Analysis
Technology · CN · Market cap 5.6B CNY
Analysis
Veken Technology Co (600152) currently trades at ¥10.81, while our model-based Fair Value estimate is ¥14.16 — implying the stock looks roughly 31.0% undervalued today. We read business quality at 94/100 (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: low) — always confirm before acting.
About the company
Veken Technology Co., Ltd., together with its subsidiaries, engages in the research, development, manufacturing, sale, and services of lithium and sodium batteries in China and internationally. The company offers cell phone, tablet/laptop, and high-rate batteries, as well as power bank products; electric bike, electric motorcycle, tricycle, shared swap, power tool drive, vacuum cleaner drive, motorized curtain drive, general robot, and other batteries; and motorcycle starting, commercial vehicle starting, new energy vehicle auxiliary, and emergency starting power products, as well as cylindrical cells. It also provides prismatic aluminum cells, modules, energy storage power station, commercial and industrial energy storage, frequency modulation energy storage, household energy storage, and portable energy storage products; and cold storage forklift power, snowmobile power, scissor lift power, handling and stacking truck, and firefighting robot batteries. The company was formerly kno…
Open the full interactive analysis →
Similar stocks
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.