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Guilin Tourism Corporation (000978) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.7B CNY

Price¥5.55
Fair Value¥1.34
Upside-75.9%
Quality95/100
Evidence: High Range ¥0.6300 – ¥1.34

Fair value as of: Jun 25, 2026

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Analysis

Guilin Tourism Corporation (000978) currently trades at ¥5.55, while our model-based Fair Value estimate is ¥1.34 — implying the stock looks roughly 75.9% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Guilin Tourism Corporation Limited provides tourism and related services in China. The company is involved in cruise ship passenger transport, scenic area tourism services, hotels, and road travel passenger transport, and taxi businesses. Guilin Tourism Corporation Limited was founded in 1998 and is headquartered in Guilin, China.

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Frequently asked questions

Is Guilin Tourism Corporation (000978) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥1.34 versus a price of ¥5.55 — about −76% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 000978?
Our 21-model fair value for Guilin Tourism Corporation is ¥1.34 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥5.55.
What is the quality score of 000978?
Guilin Tourism Corporation has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.