Superdry Para Cargo Slim Pant
W28/L32More than 10 pieces in stock at supplier
Colour
Size
Product details
Our slim-fit Para cargo pants are cool, trendy, and versatile, designed to embody these attributes. Thanks to the loose fit and elastic waistband, comfort is a hallmark of this model. Loose fit. For some, they are wide-cut, for others, anti-fit – and for others still, a comfortable look. Generous cut. More freedom of movement from the hips to the ankles. Mid-rise waistband. Elastic waistband with concealed drawstring for adjustment. Button and zipper closure. Six external pockets. Elastic cuffs. Distinctive patch on the thigh pocket.
Exact colour description | light khaki green |
Material composition | 3% elastane |
Trouser type | Cargo trousers |
Target group | Men |
Item number | 59864925 |
Manufacturer | Superdry |
Category | Casual trousers |
Release date | 30.6.2025 |
Colour | Brown, Green |
Exact colour description | light khaki green |
Material composition | 3% elastane |
Target group | Men |
Trouser type | Cargo trousers |
Trouser size | W28/L32 |
Pockets | Outside pocket |
Style | Casual |
Pattern | Unicoloured |
Special sizes | Normal size |
Washing instructions | Do not bleach, Do not tumble dry, Ironing at low temperature |
Country of origin | Sri Lanka |
CO₂-Emission | |
Climate contribution |
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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- SuperdryNot enough data
- 1.Alberto0 %
- 1.Blend0 %
- 1.Dockers0 %
- 1.La Redoute Collections0 %
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- SuperdryNot enough data
- 1.Jack & Jones0 days
- AlbertoNot enough data
- BlendNot enough data
- DockersNot enough data
Return rate
How often is a product of this brand in the «Casual trousers» category returned?
Source: Digitec Galaxus- SuperdryNot enough data
- 1.Name it4.2 %
- 2.Erwin Müller5.3 %
- 3.Vertbaudet6.7 %
- 4.Pieces8.5 %