Vero Moda Trousers
34More than 10 items in stock at third-party supplier
Product details
Product Type: Cargo Pants
Closure: Fly with button and zipper
Waist: Mid-rise
Length/Size: Regular
Details: Belt loops, cargo-style details
Fit: Straight cut
Pockets: Cargo pockets
Update your wardrobe with a timeless icon. These pants provide an elegant look. Style them with heeled boots and a blouse or shirt for a chic everyday outfit that you can also wear to the office. Feeling more casual? Just pair them with a classic T-shirt and cool sneakers.
Cut | Straight leg |
Waist | XS |
Exact colour description | Snow White |
Material composition | 100% cotton |
Trouser type | Cargo trousers |
Item number | 37634777 |
Manufacturer | Vero Moda |
Category | Casual trousers |
Release date | 18.8.2023 |
Colour | White |
Exact colour description | Snow White |
Upper | Cotton |
Material composition | 100% cotton |
Target group | Women |
Trouser type | Cargo trousers |
Clothing size | 34 |
Trouser length | 34L |
Waist | XS |
Cut | Straight leg |
flange height | Regular |
Trouser style length | Long |
Fastener | Zip |
Pockets | Cargo pockets |
Style | Casual |
Pattern | Striped |
Washing instructions | Do not bleach, Do not tumble dry, Ironing at low temperature |
Country of origin | China |
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- Vero ModaNot 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- Vero ModaNot 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- Vero ModaNot enough data
- 1.Name it4.2 %
- 2.Erwin Müller6.1 %
- 2.Vertbaudet6.1 %
- 4.Pieces6.6 %