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Guangdong Jinma Entertainment Corporation (300756) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 7.7B CNY

Price¥31.50
Fair Value¥7.24
Upside-77.0%
Quality95/100
Evidence: Medium Range ¥5.07 – ¥9.41

Analysis

Guangdong Jinma Entertainment Corporation (300756) currently trades at ¥31.50, while our model-based Fair Value estimate is ¥7.24 — implying the stock looks roughly 77.0% 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: medium).

About the company

Guangdong Jinma Entertainment Corporation Limited designs, manufactures, and installs amusement facilities. The company also plans, designs, constructs, and operates cultural tourism projects. It offers high-end amusement equipment, such as roller coaster, ferris wheel, tower, carousel, water, overhead tour bus, and children projects; and virtual immersive rides, including flying theaters, movie power roller coasters, VR series, motion cinema, film and television jumping machine, video scooter, and dark rides. The company exports its products to countries and regions in Europe, America, Southeast Asia, and the Middle East. Guangdong Jinma Entertainment Corporation Limited was formerly known as Golden Horse Technology Entertainment Corporation Limited and changed its name to Guangdong Jinma Entertainment Corporation Limited in February 2021. The company was founded in 2007 and is based in Zhongshan, 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.