Gabba Pisa Small Dot Pants Regular navy

L
Delivered between Mon, 12.5. and Wed, 14.5.
Only 3 items in stock at third-party supplier

Size

Product details

The casual cropped shape and delicate polka dot design give the Gabba Pisa Small Dot Pants Regular navy a relaxed and urban touch. The slim fit highlights the male silhouette. To ensure sufficient freedom of movement, the carefully selected material blend provides comfort.

Key specifications

Cut
Regular
Waist
L
Exact colour description
Dark Blue
Material composition
61% Cotton, 33% Nylon, 3% Polyester, 3% Spandex
Trouser type
Quinos
Item number
16161268

General information

Manufacturer
Gabba
Category
Casual trousers
Release date
27.6.2021

Colour

Colour
Blue
Exact colour description
Dark Blue

Material

Upper
Cotton
Material composition
61% Cotton, 33% Nylon, 3% Polyester, 3% Spandex

Target group

Target group
Men

Clothing properties

Trouser type
Quinos
Clothing size
L
Waist
L
Cut
Regular
flange height
Regular
Pockets
Hand pockets
Style
Casual
Pattern
Dotted
Special sizes
Normal size

Voluntary climate contribution

CO₂-Emission
Climate contribution

30-day right of return and free return shipmentReturn policy
24 Months Bring-in WarrantyWarranty provisions
1 additional offer

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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.Blend
    0 %
  • 1.Calida
    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
  • Calida
    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.Vertbaudet
    6.5 %
  • 3.Pieces
    7.8 %
  • 4.Erwin Müller
    8.2 %
Source: Digitec Galaxus