Smiffys Womens/Ladies 80s Disco Metallic Leggings
MMore than 10 items in stock at third-party supplier
Colour5
Size2
Product details
The 80s Disco Leggings by Smiffys are a stylish and eye-catching piece of clothing that embodies the spirit of the 1980s. Made from a high-quality blend of 92% polyester and 8% elastane, these leggings offer both comfort and flexibility. The metallic shiny design provides a distinctive look, perfect for parties, events, or simply making a fashionable statement in everyday life. The elastic waistband ensures a comfortable fit that adapts to various body shapes. These leggings are not only a fashion statement but also meet EU safety standards, making them a safe choice for style-conscious adults.
- High-quality material composition with 92% polyester and 8% elastane for optimal wearing comfort
- Metallic design that offers a striking look
- Elastic waistband for a comfortable and adaptable fit.
Exact colour description | Silver |
Material composition | 8% elastane, 92% polyester |
Item number | 54649561 |
Manufacturer | Smiffys |
Category | Casual trousers |
Release date | 13.2.2025 |
Colour | Silver |
Exact colour description | Silver |
Material composition | 8% elastane, 92% polyester |
Target group | Women |
Clothing size | M |
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- SmiffysNot enough data
- 1.Alberto0 %
- 1.Blend0 %
- 1.Calida0 %
- 1.Dockers0 %
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- SmiffysNot enough data
- 1.Jack & Jones0 days
- AlbertoNot enough data
- BlendNot enough data
- CalidaNot enough data
Return rate
How often is a product of this brand in the «Casual trousers» category returned?
Source: Digitec Galaxus- SmiffysNot enough data
- 1.Name it4.3 %
- 2.Vertbaudet5.8 %
- 3.Erwin Müller6.2 %
- 4.Pieces6.6 %