Large Table Trolley for storing 14 Lightweight Tables 1675x745
SKU: GP-FT-A2501
GoPak Contour folding leg tables have been proven over many decades to be the the go-to modular, flexible table range. They are probably the lightest and most reliable folding table, with an aluminium frame and edge and a wipe clean laminated top.
The Go Pak Contour table is perfect for schools and colleges, universities, clubs and medicial centres and anywhere there is a need for lightweight tables that can be folded and stored on trolleys, ready for use another day. These modular tables are also great for training courses and conferences, especially where needs differ from day to day.
This is only a small selection of the table range, there are many more options so please if you don't see what you require.
If you require several tables, please consider the mobile trollies below as to help safely store and move the tables. There is also a special tool to help fold the legs.
| Assembled: | Yes - Requires Unpacking and Positioning |
|---|---|
| Condition: | New |
| Delivery Time: | Normally delivered in 3-4 weeks* |
| Guarantee Period: | 1 Year |
SKU: GP-FT-A2501
SKU: GP-FT-A3001
SKU: ACC-CPU5-SILVER
SKU: ACC-CPU8-SILVER
SKU: ACC-HAFSA-SR
SKU: 4415-HOMEFIT1
SKU: 494-YOUNIT-GRP1
We serve cookies. We use tools, such as cookies, to enable essential services and functionality on our site and to collect data on how visitors interact with our site, products and services. By clicking Accept, you agree to our use of these tools for advertising, analytics and support. Privacy Policy.
These cookies are necessary for the site to function properly, including capabilities like logging in and adding items to the cart. They cannot be disabled.
These cookies store details about your actions to personalise your next visit to the website.
These cookies are used by us and our partners, including ShopWired, to optimize marketing communications and show you ads on other websites.
These cookies help us understand how you interact with the site. We use this data to identify areas to improve.