Shenzhen Urban Transport Technology Group (301091) Fair Value & Analysis
Technology · CN · Market cap 9.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Shenzhen Urban Transport Technology Group (301091) currently trades at ¥17.26, while our model-based Fair Value estimate is ¥5.10 — implying the stock looks roughly 70.5% overvalued today. We read business quality at 90/100 (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: medium).
About the company
Shenzhen Urban Transport Technology Group Co., Ltd., together with its subsidiaries, provides urban transportation solutions in China. The company offers multi-mode AI regulation business engine, evolutionary computing platform, and digital twin foundation. It also provides planning, policy research and plan consultation, engineering design, and intelligentization services for rail transit networks; data analysis, digital twin, intelligent management and control, and professional integration for transportation corridors; style traffic signal governance, systematic traffic safety governance, traffic congestion service, and intelligent parking solutions; and urban traffic dispatching AI cloud platform, low-altitude integration hub, low-altitude demonstration zone and test site, sustainable neighborhood, and ecological corridor. In addition, the company offers comprehensive management and control, vehicle-road-cloud, and low-altitude control and management, as well as power charging, s…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Shenzhen Urban Transport Technology Group (301091) undervalued?
What is the fair value of 301091?
What is the quality score of 301091?
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.