Magnaflow Axle Back Exhaust Overland Black 2023 Sequoia

Magnaflow Axle Back Exhaust Overland Black 2023 Sequoia delivers dyno-proven performance and improved off-road capability for a more capable, reliable overlanding platform.

This system is engineered by Magnaflow to convert a 2023–2024 Toyota Sequoia into an Overland-ready vehicle while preserving performance and sound characteristics associated with the brand.

• Overland Series Cat-Back Performance Exhaust System (#19625) — Dyno-proven performance validates measurable output characteristics, providing repeatable results for tuning and power delivery.
• Improved off-road capabilities — Designed to support overlanding use, the exhaust layout and packaging reduce interference with underbody obstacles, aiding usability on uneven terrain.
• Higher ground clearance — Exhaust routing and component placement raise underbody clearance to reduce contact risk during off-road maneuvers, improving durability and vehicle mobility.
• Signature MagnaFlow sound — Tuned acoustic profile provides a consistent, engineered exhaust note that balances driver feedback with on-road civility expected in a performance exhaust.
• Axle-back configuration — Retains factory mid-pipe and catalytic converter placement while replacing rear-section components to simplify installation and maintain emissions hardware where applicable.
• Overland Black finish — Dark exterior treatment offers corrosion resistance and a subdued aesthetic suited to overland builds and aftermarket styling.

Benefits at a glance:

• Performance consistency: Dyno-proven mapping ensures predictable response during tuning or accessory upgrades.
• Durability in the field: Packaging and finish support the demands of overland use without compromising reliability.
• Fitment focus: Specifically developed for the 2023–2024 Toyota Sequoia to integrate with vehicle architecture and maintain on-vehicle functionality.

Brand: Magnaflow — engineered for professionals and enthusiasts seeking functional, measured upgrades for overland and performance-oriented applications.