HOMCOM 12V 2 Seater Kids Electric Ride-On Car w/ Electric Bucket - Yellow

The HOMCOM 12V 2 Seater Kids Electric Ride-On Car brings the excitement of driving to playtime, with a two-seater design so children can ride together. Finished in yellow, it’s designed to feel like a real vehicle, with built-in entertainment and realistic details to enhance the experience.

Capable of speeds up to 6km/h, this kids’ ride-on UTV includes a music player, LED headlights and a horn for added fun. A parent remote control is also included, allowing adults to take control of the electric UTV and join in with the experience.

Key features

• HOMCOM 12V kids electric ride-on car
• Two-seater design for riding with a friend
• Top speed up to 6km/h
• Music player for added entertainment
• LED headlights
• Horn feature
• Parent remote control for adult operation
• Yellow finish

Please note: Colours may appear slightly different in person than on your screen.

Rackhams Reference : YQSQFT24RJ

- Colour: Yellow and black - Material: PP and metal - Dimensions: 65.5H x 121L x 69Wcm. - Seat: 32H x 48L x 20.5Wcm - Bucket: 13H x 61L x 28.5Wcm - Wheel: Φ27.5cm - Remote distance: 20m - Speed: 3-6km/h - Weight capacity: 50kg - Battery: 12V 7AH - Recommended age: 3-6 years. - Qualification age: 3-8 years - Qualifications: EN71-1-2-3, EN62115, EMC, ROHS and RED - Run time: 45 minutes - First charge: 6-8 hours - Regular charge: 8-12 hours - Item label: 370-239V70YL Note: Children must be under adult supervision when riding. Two AAA batteries are required (not included)

Product Features

• Spacious two-seater: Electric kids car can fit two children – they'll bring friends along and have fun together.Realistic: This kids ride on car includes a music player
• LED headlights
• viewing screen and a working horn – everything you'd expect in a real vehicle. Also includes a back bucket for children to keep toys.Remote control: Drive manually or with a remote
• allowing parents to steer the kids electric car and join the fun. An alarm signals low power to predict operating conditions and manage driving time effectively.