MLA Wholesale is the is the proud distributor of the Mitsubishi, Nichiyu and MLA Vulcan forklifts in Australia. Nichiyu is one of the most successful manufacturers of electric forklifts worldwide.
Industry & specialities
material handlingsforkliftnichiyuMaritimeAviationPassenger Transportation+1 more
* 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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MNCs / Large Enterprises in Singapore
Frequently Asked Questions (FAQ)
What is the funding status of MLA WHOLESALE (FORMERLY NFM FORKLIFTS)?
What is the address of MLA WHOLESALE (FORMERLY NFM FORKLIFTS)?
Where is MLA WHOLESALE (FORMERLY NFM FORKLIFTS)'s headquarter?
What is MLA WHOLESALE (FORMERLY NFM FORKLIFTS)'s contact number?
Which countries does MLA WHOLESALE (FORMERLY NFM FORKLIFTS) operate in?
What MLA WHOLESALE (FORMERLY NFM FORKLIFTS)'s spending power?
Does MLA WHOLESALE (FORMERLY NFM FORKLIFTS) have a presence in the domain it operates in?
* 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.
