Product details
The SF Minni girls' leggings from Skinni Fit are a practical and comfortable choice for active children. These leggings feature an elastic waistband that ensures a pleasant fit and adapts perfectly to the body shape. The double seams enhance the durability and longevity of the garment, making it ideal for everyday wear. Made from a high-quality blend of 96% cotton and 4% elastane, these leggings offer both comfort and flexibility, allowing children to move freely. The leggings come in a classic black color, which is versatile and suitable for various occasions. With a waist size of 140, they are specifically designed for girls in the children's age group. The easily removable tags provide additional comfort. These leggings are an excellent addition to any wardrobe, offering both style and functionality.
Waist | 140 |
Exact colour description | Black |
Material composition | 96% cotton, 4% spandex |
Trouser type | Leggings |
Item number | 42896698 |
Manufacturer | Skinni Fit |
Category | Casual trousers |
Release date | 11.2.2024 |
Colour | Black |
Exact colour description | Black |
Material composition | 96% cotton, 4% spandex |
Target group | Girls |
Trouser type | Leggings |
Clothing size | 140 |
Waist | 140 |
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- Skinni FitNot 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- Skinni FitNot 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- Skinni FitNot enough data
- 1.Name it4.2 %
- 2.Erwin Müller5.9 %
- 3.Vertbaudet6.3 %
- 4.Pieces6.6 %