Ninebot Limited (689009) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 26.5B CNY
Analysis
Ninebot Limited (689009) currently trades at ¥34.00, while our model-based Fair Value estimate is ¥39.17 — implying the stock looks roughly 15.2% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Ninebot Limited engages in the design, research and development, production, sale, and servicing of short-distance transportation and robot products worldwide. Its products include electric vehicles, scooter, balance bike, all-terrain vehicle, service robots, and E-bike. The company also engages in repair of bicycles and tricycles; import and export trade, wholesale, sales, and research and development; provision of intelligent equipment services, transportation vehicles, robots, and related accessories for small-scale transportation; finance; promotion, sales of goods and provision of after-sales service; car sales; Computer software technology development and technology transfer. In addition; it develops, research, process, and sales of motorcycles, electric two-wheeled motorcycles, electric three-wheeled motorcycles, electric bicycles and their parts, batteries, chargers and their parts, technology transfer of off-highway recreational vehicles and spare parts, and all-terrain veh…
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.