Gabba Paul K3280 Dale Chi Pants humus

W31/L32
Delivered between Mon, 9.6. and Tue, 10.6.
Only 2 items in stock at third-party supplier
Supplied by

Product details

The sporty-elegant chinos from Gabba impress with their comfortable fit and high versatility for various styles. Whether for everyday wear, in the office, or at a fancy dinner party: with these pants, you always make the right choice.

Key specifications

Cut
Slim fit
Waist
31W
Exact colour description
Mould
Material composition
61% Cotton, 36% Polyester, 3% Spandex
Trouser type
Quinos
Item number
15644613

General information

Manufacturer
Gabba
Category
Casual trousers
Release date
12.4.2021
Sales rank in Category Casual trousers
207 of 22034

Colour

Colour
Beige
Exact colour description
Mould

Material

Upper
Polyester
Material composition
61% Cotton, 36% Polyester, 3% Spandex

Target group

Target group
Men

Clothing properties

Trouser type
Quinos
Clothing size
W31/L32
Trouser length
32L
Waist
31W
Cut
Slim fit
flange height
Regular
Trouser style length
Long
Style
Casual
Pattern
Unicoloured
Special sizes
Normal size

Voluntary climate contribution

CO₂-Emission
Climate contribution

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

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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
  • Gabba
    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
  • Gabba
    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
  • Gabba
    Not enough data
  • 1.Name it
    4.2 %
  • 2.Erwin Müller
    5.9 %
  • 3.Vertbaudet
    6.3 %
  • 4.Pieces
    6.6 %
Source: Digitec Galaxus