Dick Smith Unisex Adult Masks Beanie
More than 10 items in stock at third-party supplier
Product details
The pom-pom beanie from Dick Smith is a stylish accessory that combines functionality with fashionable design. Made from 100% acrylic, this beanie offers pleasant warmth while being lightweight and comfortable to wear. The eye-catching pattern in black, red, and white gives the beanie a unique character, while the large pom-pom on top adds a playful touch. The rolled cuff provides extra comfort and a personalized fit. With a one-size-fits-all design, this beanie is suitable for a variety of head sizes. The officially licensed design, inspired by the character Jason Voorhees, makes it a special piece for both fans and fashion enthusiasts alike. This beanie is not only a practical garment for cold days but also a fashion statement that can be easily paired with various outfits.
Exact colour description | Black/red/white |
Target group | Men |
Material composition | 100% acrylic |
Cap type | Pom-pom hat |
Item number | 57919087 |
Manufacturer | Dick Smith |
Category | Hats |
Release date | 19.4.2025 |
Colour | Black, Red, White |
Exact colour description | Black/red/white |
Material composition | 100% acrylic |
Target group | Men |
Cap type | Pom-pom hat |
Clothing size | One size |
Country of origin | China |
CO₂-Emission | |
Climate contribution |
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Warranty score
How often does a product of this brand in the «Hats» category have a defect within the first 24 months?
Source: Digitec Galaxus- Dick SmithNot enough data
- 1.Arc'teryx0 %
- 1.Barts0 %
- 1.Beechfield0 %
- 1.Carhartt0 %
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- Dick SmithNot enough data
- Arc'teryxNot enough data
- BartsNot enough data
- BBBNot enough data
- BeechfieldNot enough data
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Return rate
How often is a product of this brand in the «Hats» category returned?
Source: Digitec Galaxus- Dick SmithNot enough data
- 1.SIGN0 %
- 2.Schönenberger0.3 %
- 3.Gebol1 %
- 4.Sixs1.7 %