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Jiangsu Tongxingbao Intelligent Transportation Technology Co (301339) Fair Value & Analysis

Technology · CN · Market cap 6.7B CNY

Price¥11.19
Fair Value¥6.75
Upside-39.7%
Quality93/100
Evidence: High Range ¥5.12 – ¥8.38

Analysis

Jiangsu Tongxingbao Intelligent Transportation Technology Co (301339) currently trades at ¥11.19, while our model-based Fair Value estimate is ¥6.75 — implying the stock looks roughly 39.7% overvalued today. We read business quality at 93/100 (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: high).

About the company

Jiangsu Tongxingbao Intelligent Transportation Technology Co., Ltd., together with its subsidiaries, provides smart transportation platform solutions for highways, trunk roads, and urban transportation in China. The company is involved in the smart transportation electronic toll collection (ETC) business, including ETC issuance and sales, and electronic toll collection service business; and the smart transportation operation management system business, including smart transportation operation management system software development, and solutions and system technology services provision. It offers smart transportation ecological services, such as data elements, supply chain services, parking, refueling and charging, car maintenance and use, and road economy for ETC users, financial institutions, and related partners; and ecological application services. It serves government agencies related to transportation management, road and bridge enterprises and institutions, traffic police, an…

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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.