Miamoda Pants with wide legs in glitter effect
42Only 3 pieces in stock at third-party supplier
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Product details
The Miamoda wide-leg pants combine comfort and style in an appealing design. These pants feature a shimmering effect that adds a touch of elegance to any outfit. The elastic waistband ensures a comfortable fit and allows for easy wear. The combination of polyester and elastane provides a pleasant wearing experience and freedom of movement. These pants are ideal for various occasions, whether for everyday wear or special events. They can be styled in many ways and are a fashionable must-have for your wardrobe.
- Shimmering effect for an elegant look
- Comfortable elastic waistband for optimal fit
- Made from an easy-care material blend.
Exact colour description | Royal blue |
Material composition | 5% spandex, Outer fabric: 65% polyester |
Target group | Women |
Item number | 58454546 |
Manufacturer | Miamoda |
Category | Casual trousers |
Manufacturer no. | 836335 |
Release date | 12.5.2025 |
Colour | Blue |
Exact colour description | Royal blue |
Material composition | 5% spandex, Outer fabric: 65% polyester |
Target group | Women |
Trouser size | 42 |
Special sizes | Large sizes |
Washing instructions | Do not iron, Do not tumble dry, Suitable for washing machines |
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- MiamodaNot 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- MiamodaNot enough data
- 1.Jack & Jones0 days
- AlbertoNot enough data
- BlendNot enough data
- BRAXNot enough data
Return rate
How often is a product of this brand in the «Casual trousers» category returned?
Source: Digitec Galaxus- MiamodaNot enough data
- 1.Name it4.2 %
- 2.Erwin Müller6.2 %
- 3.Vertbaudet6.8 %
- 4.Switcher9.8 %