Fiorucci Sweater
MOnly 1 piece in stock at third-party supplier
Pattern2
Size4
Product details
The Fiorucci Sweater is a stylish and comfortable pullover made from 100% cotton. With its round neckline and long sleeves, it offers a pleasant fit that is perfect for everyday wear. The loose cut provides freedom of movement and comfort, while the ribbed cuffs at the sleeves and hem add a classic touch. The eye-catching print on the front gives the sweater a fashionable flair, making it a versatile piece that can be easily paired with other items. Whether for relaxed days at home or a casual outing, this sweater is an excellent choice for fashion-conscious adults.
- 100% cotton for high wearing comfort
- Loose fit for optimal freedom of movement
- Eye-catching print for a stylish accent.
Exact colour description | Light blue |
Material composition | 100% cotton |
Target group | Women |
Item number | 68562581 |
Manufacturer | Fiorucci |
Category | Sweaters |
Release date | 19.3.2026 |
External links |
Colour | Blue |
Exact colour description | Light blue |
Material composition | 100% cotton |
Upper | Cotton |
Target group | Women |
Clothing size | M |
Fastener | Slip |
Pattern | |
Sleeve length | Long sleeves |
Collar shape | Round neck |
Fit | Regular fit |
Style | Casual |
CO₂ emissions | 8.71 kg |
Climate contribution | CHF 0.21 |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Sweaters» category have a defect within the first 24 months?
Source: Digitec Galaxus- FiorucciNot enough data
- 1.Armedangels0 %
- 1.Awdis0 %
- 1.Blend0 %
- 1.Cash-Mere0 %
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- FiorucciNot enough data
- 1.Selected0 days
- ArmedangelsNot enough data
- AwdisNot enough data
- BlendNot enough data
Return rate
How often is a product of this brand in the «Sweaters» category returned?
Source: Digitec Galaxus- FiorucciNot enough data
- 1.vidaXL2.8 %
- 2.Difuzed4.2 %
- 3.Name it4.3 %
- 4.Vertbaudet4.9 %