Big Mike's Performance Parts' STO N SHO for 2019-2023 Dodge Challenger Wide Body Scat Pack

Big Mike’s Performance Parts’ STO N SHO™ is an aftermarket quick release front license plate bracket that is designed for those cars whose appearance would be ruined by use of the factory mounting location. Stay in compliance with state law by simply STOing your front license plate when you want to SHO the beauty of your car.

Big Mike’s Performance Parts’ STO N SHO™ is a two-piece quick release front license plate bracket consisting of a front license plate holder and a base mounting plate.

Removal and installation of the front license plate is easy

• Requires only the pull of a spring loaded pull pin
• Remaining base plate is virtually undetectable

The STO N SHO^TM aftermarket quick release front license plate bracket is manufactured in the USA using quality materials and parts. The front and base plates are precision laser cut and hand burnished. Each tube and rod is machine cut and hand cleaned. Each STO N SHO^TM aftermarket quick release front license plate bracket is expertly hand welded and drilled. After it’s assembled the base plate welds are ground smooth. The bracket is then anodized black. The final step in the process is to install the pull pin and test the product. While the bracket may look simple in appearance, a lot of time and work goes into making each STO N SHO^TM aftermarket quick release front license plate bracket to ensure you receive a quality product.

This Big Mike’s Performance Parts’ STO N SHO™ requires no holes to be drilled on the underside of the vehicle for installation on the Demon, however 1 hole is required for the Hellcat.

• Constructed of 5052 and 6061 aluminum
• Welded and anodized black
• Built to last and comes with a limited life time warranty

• Requires no holes for the Demon, 1 small pilot hole on the underside for the Hellcat

• 2019-2023 Dodge Challenger Wide Body Scat Pack

All parts required for installation included, however, tools are required.

*Actual bracket may vary based on model