Pieces PCNEW Tights
90DEN, M/LMore than 10 pieces in stock at supplier
Product details
The PCNEW Tights by Pieces are a practical and stylish choice for the modern wardrobe. This pack of two tights offers a high denier count of 90, making them an ideal option for opaque coverage. The soft and stretchy fabric ensures comfortable wear and an optimal fit that adapts to the body's movements. The tights come in a classic black, making them perfect for various occasions, whether for everyday wear or special events. They are a versatile addition to any women's clothing collection, providing both functionality and style.
- Made from 91% polyamide and 9% elastane for high comfort
- Opaque tights, ideal for various outfits
- Care instructions: Do not bleach, not suitable for tumble drying, do not iron.
Exact colour description | Black |
Material composition | 91% polyamide, 9% spandex |
Target group | Women |
Multipack | pack of 2 |
Colour | Black |
Exact colour description | Black |
Material composition | 91% polyamide, 9% spandex |
Upper | Polyamide, Spandex |
Target group | Women |
Stocking type | Pantyhose |
Size | M/L |
DEN / Denier | 90DEN |
Pattern | Unicoloured |
Country of origin | Turkey |
CO₂ emissions | 1.33 kg |
Climate contribution | CHF 0.11 |
Multipack | pack of 2 |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Stockings» category have a defect within the first 24 months?
Source: Digitec Galaxus- PiecesNot enough data
- 1.DIM0 %
- 1.Giulia0 %
- 1.La Redoute Collections0 %
- 1.Noya0 %
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- PiecesNot enough data
- CamanoNot enough data
- DIMNot enough data
- FalkeNot enough data
- GiuliaNot 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 «Stockings» category returned?
Source: Digitec Galaxus- PiecesNot enough data
- 1.Giulia0 %
- 2.Kunert0.4 %
- 3.Sterntaler0.6 %
- 4.Smiffys1.2 %