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Caitong Securities Co (601108) Fair Value & Analysis

Financial Services · CN · Market cap 36.6B CNY

Price¥8.27
Fair Value¥9.64
Upside+16.6%
Quality95/100
Evidence: High Range ¥7.23 – ¥12.05

Analysis

Caitong Securities Co (601108) currently trades at ¥8.27, while our model-based Fair Value estimate is ¥9.64 — implying the stock looks roughly 16.6% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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

Caitong Securities Co.,Ltd., together with its subsidiaries, operates in the securities industry in China and internationally. The company is involved in acting as a securities and futures broker; provision of personalized investment and financing, wealth management, and margin services; sale of financial products; and financial derivatives, market making, and international businesses. It also provides company listing, bond financing, financial advisor, equity refinancing, mergers and acquisitions, and new third board services; equity investment, fixed income investments, direct equity investment, and alternative investments; and investment trading, prime brokerage, asset custody, and research and institutional sales services. In addition, the company offers digital services. The company was founded in 1993 and is based 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.