BRAX 10022154

W32
Delivered between Wed, 18.6. and Thu, 19.6.
Only 2 items in stock at third-party supplier
Supplied by

Product details

Discover the Brax Mara S Chino in Regular Fit in an elegant Light Grey. This feminine pant impresses with its straight leg cut and mid-rise waist, providing ideal comfort. The lightweight, stretchy fabric (96% cotton, 4% elastane) ensures an optimal fit and freedom of movement. With its modern design and practical zipper, it is perfect for any occasion. Easy to care for with a gentle wash at 30°C, it is a must-have for fashion-conscious women.

Key specifications

Cut
Regular
Exact colour description
Light grey
Material composition
96% cotton, 4% spandex
Trouser type
Quinos
Item number
54839328

General information

Manufacturer
BRAX
Category
Casual trousers
Release date
21.2.2025

Colour

Colour
Grey
Exact colour description
Light grey

Material

Material composition
96% cotton, 4% spandex

Target group

Target group
Women

Clothing properties

Trouser type
Quinos
Clothing size
W32
Cut
Regular
flange height
Regular
Fastener
Zip

Voluntary climate contribution

CO₂-Emission
Climate contribution

30-day right of return and free return shipment
24 Months Warranty (Bring-in)

Compare products

Goes with

Reviews & Ratings

Warranty score

How often does a product of this brand in the «Casual trousers» category have a defect within the first 24 months?

Source: Digitec Galaxus
  • BRAX
    Not enough data
  • 1.Alberto
    0 %
  • 1.Blend
    0 %
  • 1.Dockers
    0 %
  • 1.La Redoute Collections
    0 %

Warranty case duration

How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?

Source: Digitec Galaxus
  • BRAX
    Not enough data
  • 1.Jack & Jones
    0 days
  • Alberto
    Not enough data
  • Blend
    Not enough data
  • Dockers
    Not enough data

Return rate

How often is a product of this brand in the «Casual trousers» category returned?

Source: Digitec Galaxus
  • BRAX
    Not enough data
  • 1.Name it
    4.2 %
  • 2.Erwin Müller
    5.2 %
  • 3.Pieces
    6.3 %
  • 3.Vertbaudet
    6.3 %
Source: Digitec Galaxus