Vero Moda VMCALVA trousers Trousers
54Only 2 items in stock at third-party supplier
Product details
Wide fit trousers are timeless classics in the wardrobe – and we’re glad about that. These trousers are true favorites that hold your entire wardrobe together. You will fall in love with wide fits! Style them with sneakers and an oversized blouse for a cool everyday look, or with a crop top and heeled boots when you hit the town at night. Curve styles are designed to fit curvy women perfectly.
Product type: Trousers
Pockets: Side pockets
Details: Belt at the waist
Body shape: Curve
Fit: Wide leg cut
Composition detail: Polyester.
Cut | loose fit |
Exact colour description | Black |
Material composition | Material: 100% recycled polyester |
Item number | 47145827 |
Manufacturer | Vero Moda |
Category | Casual trousers |
Release date | 10.7.2024 |
Colour | Black |
Exact colour description | Black |
Upper | Polyester |
Material composition | Material: 100% recycled polyester |
Target group | Women |
Clothing size | 54 |
Cut | loose fit |
Pockets | Side pockets |
Style | Casual |
Pattern | Unicoloured |
Special sizes | Normal size |
Washing instructions | Do not bleach, Do not tumble dry, Ironing at low temperature |
Country of origin | China |
CO₂-Emission | |
Climate contribution |
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- 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 it4.3 %
- 2.Erwin Müller6.1 %
- 2.Vertbaudet6.1 %
- 4.Pieces6.6 %