Penn Sweater
MOnly 4 pieces in stock at third-party supplier
Size3
Product details
The women's sweater from Penn combines comfort and style in a timeless design. Made from a soft cotton blend, this crew neck pullover offers a pleasant wearing experience and is ideal for everyday use. The long sleeves and dropped shoulders create a relaxed fit, while the cuffs at the sleeves and hem provide additional support. A striking wording print on the front adds a unique touch to the sweater. With its straight fit and light blue color, this sweater is versatile and perfect for relaxed casual looks.
- Soft cotton blend for high wearing comfort
- Dropped shoulders for a casual look
- Cuffs at sleeves and hem for a better fit
- Striking wording print on the front.
Exact colour description | Light blue |
Material composition | 85% cotton, 15% polyester |
Target group | Women |
Item number | 67218570 |
Manufacturer | Penn |
Category | Sweaters |
Release date | 12.2.2026 |
External links |
Colour | Blue |
Exact colour description | Light blue |
Material composition | 85% cotton, 15% polyester |
Upper | Cotton, Polyester |
Target group | Women |
Jumper type | Sweatshirt |
Clothing size | M |
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- PennNot enough data
- 1.Armedangels0 %
- 1.Awdis0 %
- 1.Cash-Mere0 %
- 1.Clique0 %
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- PennNot enough data
- 1.Christmas Sweats0 days
- 1.Selected0 days
- ArmedangelsNot enough data
- AwdisNot enough data
Return rate
How often is a product of this brand in the «Sweaters» category returned?
Source: Digitec Galaxus- PennNot enough data
- 1.vidaXL3.1 %
- 2.Difuzed4.2 %
- 2.Name it4.2 %
- 4.Vertbaudet5.2 %