Profile
MOST FUN GYM - MFG
Motocross track offering safe & exciting riding experiences
🏢 SME
Last updated: 27 Aug 2024 |
Most Fun Gym (MFG) is a motocross track located in Kampung Sungai Penchala, Kuala Lumpur, Malaysia. Founded by former national motor-racing champion, Oh Kah Beng, MFG offers a unique and exciting experience for urban riders looking for a safe and controlled environment to ride their two-wheeled vehi...See more
Industry & specialities
Details
Headquarter Malaysia |
Countries of operation Malaysia |
Year founded 2005 (19 years) |
Funding status Private |
Company type SME |
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.