Skip to product information
1 of 11

Outback Canvas

Canvas Car Seat Covers suits Toyota Prado 150 11/2009-On Airbag Deploy Safe 3 Rows OUT6578CHA

Canvas Car Seat Covers suits Toyota Prado 150 11/2009-On Airbag Deploy Safe 3 Rows OUT6578CHA

Best Value Custom Seat Cover Set
ID: 8432888774955 MPN: OUT6578CHA
Regular price $329.99 AUD
Regular price $349.00 AUD Sale price $329.99 AUD
Sale Sold out
Tax included. Shipping calculated at checkout.

truck-stock-icon   In Stock Ready To Ship(Shipping Estimates)

The most durable of all the fabrics, canvas is the favourite for trades vehicles, trucks and agricultural vehicles.
It is fully waterproof, rough and designed to take a beating.

  • Suits Toyota Prado 150 Series Wagon, 7-Seater.
  • 11/2009-On GX GXL VX KAKADU.
  • Features Deploy Safe stitching for side integrated airbags.
  • Comes with certificate for Insurance.
  • Tough high quality Outback canvas material.
  • Made from cotton canvas.
  • Tailor made to fit front, middle and rear row seats.
  • Rugged seat covers recommended for trades vehicles.
  • Custom fitting seat covers.
  • Allow seats to still be adjusted with seat covers fitted.
  • Seat Covers are padded with foam for added comfort.
  • Polypropylene backing allows easy fit.
  • Ties used to fasten seat covers to seat.
  • Seat covers can be safely cleaned in washing machine.
  • 5 year warranty.
  • Charcoal colour.
  • This set fits 7-Seater models only.

Ships in 3-5 days if pre-ordered.

Low stock: 2 left

View full details
  • Free Shipping

    Order over $99 and qualify for free shipping on regular sized stocked items (not bulky). May not apply to certain custom made items. Applies to metro postcodes only.

  • Bulky Shipping

    A bulky freight surcharge will apply to heavy or oversized products. Charges will be calculated at checkout based on your location.

  • Custom Made Timeframe

    As we specialise in custom made car accessories, many of our products are made to order. This means items may not ready for immediate shipping. See individual product for timeframes.