Sparco Trousers Corporate
XLProduct details
The Corporate Pants by Sparco are specifically designed for use in the workplace. They are made from a high-quality blend of 97% cotton and 3% spandex, ensuring a comfortable fit and freedom of movement. These work pants offer not only comfort but also durability, making them an ideal choice for various professional requirements. The use of stretch cotton allows for flexible adaptation to body movements, while the simple design is versatile for pairing with other clothing. The pants are available in size XL and are suitable for a variety of tasks where both functionality and a professional appearance are required.
- Made from a durable cotton-spandex blend for optimal comfort and flexibility
- Designed for use in various work environments, ideal for trades and industry
- Simple, professional design that easily pairs with other work garments.
Colour | Black |
Exact colour description | Black |
Main fabric material | Cotton |
Item number | 32541536 |
Manufacturer | Sparco |
Category | Work trousers |
Release date | 3.2.2023 |
Colour | Black |
Exact colour description | Black |
Main fabric material | Cotton |
Material | 3% Spandex, 97% cotton |
Work trouser size | XL |
Country of origin | China |
CO₂-Emission | |
Climate contribution |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Work trousers» category have a defect within the first 24 months?
Source: Digitec Galaxus- SparcoNot enough data
- 1.FHB0 %
- 1.Planam0 %
- 1.Portwest0 %
- 1.Premier0 %
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- SparcoNot enough data
- BlakläderNot enough data
- CarharttNot enough data
- CatNot enough data
- FHBNot enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Work trousers» category returned?
Source: Digitec Galaxus- SparcoNot enough data
- 1.Premier13.2 %
- 2.Pfanner14.4 %
- 2.Yato14.4 %
- 4.Neo18.6 %