Tencent Holdings Becomes An Inspiration for Small Listed Companies

Wednesday, 9 October 2024, 12:00

Tencent Holdings is steering a new association aimed at helping small listed companies in Hong Kong grow. The Hong Kong Small and Medium Listed Companies Association, founded by Wilson Sea, seeks to empower SMEs to leverage local capital markets for funding. Highlighting the struggles faced by smaller firms, the association plans initiatives drawing from the success story of Tencent, which transformed from a humble listing to a market titan.
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Tencent Holdings Becomes An Inspiration for Small Listed Companies

Tencent Holdings Sparks New Initiatives in Hong Kong's Capital Market

The recently formed Hong Kong Small and Medium Listed Companies Association aims to help smaller firms leverage capital markets effectively. Founded by chairman Wilson Sea, the association seeks to provide vital support for SMEs to overcome market challenges.

Challenges Faced by Small Listed Companies

As Wilson Sea highlighted, many small and medium-sized companies encounter significant hurdles. The aim is to facilitate their ability to raise funds within Hong Kong’s capital markets, enabling them to grow and ultimately become larger players.

Learning from Tencent Holdings

With Tencent Holdings as a prime example, the association encourages SMEs to draw inspiration from such success stories. Since its listing in 2004, Tencent has grown its market capitalization from HK$370 million to over HK$4 trillion, a testament to the potential of the capital market.

Government Support and Financial Programmes

The association’s formation attracted attention, including support from key officials like lawmaker Robert Lee Wai-wang, emphasizing the need for relaxed listing requirements. Concurrently, the Hong Kong government and banks are enhancing their efforts to fund struggling SMEs amidst tough economic conditions.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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