Figl Ladies trousers
XLOnly 3 pieces in stock at third-party supplier
Colour5
Size2
Product details
The women's pants from Figl feature an elegant fuchsia design accentuated by a stitched edge. The elastic waistband with drawstring ensures high comfort and an optimal fit. A decorative tie at the front adds an appealing touch to the pants. The legs are slightly tapered, giving the pants a modern silhouette. These pants are ideal for various occasions and can be combined in many ways. They are made from a high-quality material composition of 97% viscose and 3% elastane, providing a pleasant feel and freedom of movement. The pants come without pockets, emphasizing the minimalist look.
- Elastic waistband with drawstring for high comfort
- Decorative tie at the front
- Tapered legs for a modern silhouette.
Exact colour description | Violet |
Material composition | Spandex 3 %, VISCOSE 97 % |
Target group | Women |
Item number | 47648029 |
Manufacturer | Figl |
Category | Casual trousers |
Manufacturer no. | MH151818-920754 |
Release date | 8.8.2024 |
Colour | Violet |
Exact colour description | Violet |
Material composition | Spandex 3 %, VISCOSE 97 % |
Target group | Women |
Trouser size | XL |
Pockets | No pockets |
Pattern | Unicoloured |
Country of origin | Switzerland |
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- FiglNot enough data
- 1.Alberto0 %
- 1.Dockers0 %
- 1.La Redoute Collections0 %
- 1.Name it0 %
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- FiglNot enough data
- 1.Jack & Jones0 days
- AlbertoNot enough data
- Anne WeyburnNot enough data
- BlendNot enough data
Return rate
How often is a product of this brand in the «Casual trousers» category returned?
Source: Digitec Galaxus- FiglNot enough data
- 1.Name it4.5 %
- 2.Vertbaudet6.1 %
- 3.loud + proud7 %
- 4.Erwin Müller9.1 %




