Guess GU00191/56
Only 1 piece in stock at supplier
Product details
The GU00191/56 women's sunglasses from Guess combine stylish design with functional features. With their striking cat-eye shape and polarized lenses, they not only provide a fashionable accent but also optimal protection against sunlight. The sunglasses are made from high-quality plastic, making them lightweight and comfortable to wear. The black color adds a timeless elegance that effortlessly integrates into various outfits. These sunglasses are ideal for fashion-conscious individuals who value both aesthetics and functionality.
- Polarized lenses for enhanced glare protection
- Cat-eye shape for a trendy look
- Lightweight plastic material for high wearing comfort.
Exact colour description | Black |
Lens tint | Black |
Item number | 58322953 |
Manufacturer | Guess |
Category | Sunglasses |
Manufacturer no. | SG707941 |
Release date | 8.5.2025 |
External links |
Exact colour description | Black |
Target group | Sunglasses ladies |
Target group | Women |
Age group | Adults |
Size of glasses | 56 |
Temple length | 14 cm |
Web width | 16 mm |
Frame colour | Black |
Frame material | Plastic |
Frame type | Full rim |
Lens tint | Black |
Lens width | 56 mm |
Eyewear features | Polarised glass |
Manufacturer commitment | SBTi |
CO₂ emissions | 1.29 kg |
Climate contribution | CHF 0.11 |
Weight | 30 g |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Sunglasses» category have a defect within the first 24 months?
Source: Digitec Galaxus- GuessNot enough data
- 1.KiETLA0 %
- 1.Walser0 %
- 3.Uvex0.1 %
- 3.Wedo0.1 %
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- GuessNot enough data
- 1.Nectar0 days
- 2.Ray Ban7 days
- AlpinaNot enough data
- Baby BanzNot enough data
Return rate
How often is a product of this brand in the «Sunglasses» category returned?
Source: Digitec Galaxus- GuessNot enough data
- 1.Wedo0.9 %
- 2.Dunlop2 %
- 2.Walser2 %
- 4.Mausito2.5 %