Bilstein B8 5100 46mm Monotube Suspension Front Shock Absorber (16.85 in. Collapsed) for 2017-2026 Ford F-250 Super Duty (P558) h&r-ets-electronic-lowering-system 0 R Limited Chassis Code

0 R Limited Chassis Code BR Adjustable Yes Bolt Thread Diameter 10 mm Grade Type Performance Grease Fitting Included No Greaseable No Installation Difficulty Moderate Installation Time (hrs) 1 Kit Contents 2 Links Length 90-115 mm Locking Nuts Included Yes Material Aluminum Alloy Pre-Greased Yes Washers Included Yes Vehicle Placement Front and Rear Wheel Alignment Required No Notes Adjustable Extra Heavy Duty

Part Number 35-053453 Part Name Strut Assembly Vehicle 2003-2004 Mercedes-Benz C32 AMG UPC 651860603315 Boot Included Blue Bellows Finish Yellow Paint Internal Design Monotube Lower Mount Type Special Segment Tuning Series B8 Performance Plus Spring Seat Included Yes - Fixed Upper Mount Type Stem Quantity Sold Individually Vehicle Fitment

2017 Honda Odyssey

Part Number YS01-TY-SPL015 Part Name Yellow Speed Super Low Coilovers Vehicle 1993-1997 Toyota Corolla Chassis Code AE101 Drivetrain Spring Rates - Front 8 kg/mm Spring Rates - Rear 6 kg/mm Top Mounts - Front Aluminum Pillow Ball Upper Mounts with Camber Plates Top Mounts - Rear Aluminum Pillowball Mounts Camber Plates - Front Yes Camber Plates - Rear No Notes Fits AE100/101/102 Chassis Only

For serious Acura Integra track drivers and race teams

Bilstein B8 5100 46mm Monotube Suspension Front Shock Absorber (16.85 in. Collapsed) for 2017-2026 Ford F-250 Super Duty (P558) h&r-ets-electronic-lowering-system 0 R Limited Chassis CodeBilstein B8 5100 Shock Absorbers to your 2017 2026 Ford F 250 Super Duty (P558) are designed as a direct fit solution for lifted trucks and SUV's. These Shock Absorbers feature a monotube design which provides consistent fade free performance. B8 5100 Shock Absorbers utilize a unique, velocity sensitive, digressive piston which reacts to changing road conditions. All B8 5100 Shock Absorbers are tuned for each specific application to assure optimal