SPECIFICATIONS

Brand Name: VIBRATITE

Origin: Mainland China

CN: Guangdong

Type: Storage Baskets

Choice: yes

semi_Choice: yes

50pcs Square Transparent Coin Capsule Holder Storage Box with Joints for Collectible Coin Medal 17/20/25/27/30mm Coin Organizer

Characteristics:

* Universal: 17/20/25/27/30mm universal, you can adjust the inner ring of the gasket according to the diameter of the commemorative coin, remove excess washer, and put on the commemorative coin, fix the coin without shaking and prevent the coin from being worn or broken

*Premium Design: The coin capsules have rounded square corners, providing a delicate and smooth appearance. Easy-open opening mouth and durable thickened buckle ensure convenient use and long-lasting durability. Additionally, the set comes with a storage box, allowing you to keep your wallet capsules organized and protected.

* Wide applicability: These coin capsules are suitable for storing different types of coins, including commemorative coins, regular coins and character coins. Whether you have 1 yuan, 5 yuan or 10 yuan coins, these capsules can hold them securely in place.

* Durable Material: Made of high quality plastic, these coin capsules are sturdy and reliable for long term use. They provide excellent protection for your coins, keeping them safe from scratches, dust and other potential damage.

*Package includes: This set includes 50 coin capsules, each accompanied by a corresponding gasket. With enough quantity, you can store and protect your coin collection effectively.

Specifications:

Product Name: Coin Capsules

Material:PS

Size: for 17/20/25/27/30mm

Color: as shown

Fitment: Universal (Adjustable inner seal ring)

Number of pieces: 50 coin capsules + 50 pieces gaskets

Package content

50 coin capsules + 50 piece joints (no coins included)

Note:

1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.

2. Please allow slight manual measurement deviation for the data