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Upgrade your motorcycle's airflow with the ARLEN NESS Big Sucker* Stage I Air Filter Kit, designed to deliver maximum performance and a sleek look. Crafted from durable aluminum with a high-gloss black finish, this kit features a one-piece backing plate with innovative hidden breather technology. The breather system is O-ringed at the heads and exits inside the throttle body, creating a virtually closed-loop system that eliminates the need for external hoses or hardware, resulting in a clean and streamlined engine bay. The radius air inlet is engineered to provide unobstructed airflow, which helps increase horsepower and torque, enhancing your motorcycle*s overall performance. The kit includes all necessary hardware and easy-to-follow instructions, making installation straightforward. The included high-performance filter is pre-oiled, washable, and reusable, constructed from four layers of surgical-grade cotton for maximum filtration and airflow efficiency. Handmade in the USA, this filter ensures quality and durability for long-term use. Designed with both performance and aesthetics in mind, the ARLEN NESS Big Sucker* Stage I Air Filter Kit is an excellent upgrade for riders seeking to improve their motorcycle's power output while maintaining a clean, professional appearance. Whether you're customizing your bike for touring, racing, or everyday riding, this kit provides the perfect combination of style, function, and reliability to enhance your riding experience.
Features:
* One-piece aluminum backing plate with hidden breather technology for a clean engine bay
* Hidden breather exits inside the throttle body, creating a virtually closed-loop system
* Radius air inlet designed for maximum unobstructed airflow
* Includes all necessary hardware and instructions for easy installation
* Pre-oiled, washable, and reusable high-performance filter made from four layers of surgical-grade cotton
* Increases horsepower and torque for improved engine performance
* High-quality construction, handmade in the USA for durability and reliability
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