Company Introduction
As Korea's No.1 used car company, we hold the largest amount of stocks and nationwide branches all over the country. Our company deals more than 86,000 vehicles per year (75% of Korean total used car trading quantity), including Hyundai, Kia, Ssangyong and Daewoo passenger cars, buses and trucks. We provide every buyer with a specialized and responsible used car exporting service, which is based on our strong credit in domestic market. A number of customers are satisfied with our professional car inspection and insurance services.Now we are expanding our business scope to the global markets. The price is negotiable since we offer discounted export price. Once you order cars, we are also ready to find the suitable cars even if we do not have the cars now in our inventory.Any inquiry is absolutely welcomed. Please feel free to contact us.
Order Credit Report
Company Basic Information
- - Company Name
Encar Networks Co. Ltd.
- - Location
Seoul
- - Business Type
Trading Company
- - Year Established
2000
- - Employees Total
501 - 1000
- - Annual Revenue
USD 50,000,001 - 100,000,000
- - Website
http://global.encar.com/global/index.html
- - EC21 Storefrontskencar.en.ec21.com
-
- Selling Categories
Automobiles & Motorcycles > Automobiles
Automobiles & Motorcycles > Other Auto Parts
Construction & Real Estate > Construction Machinery
Transportation > Other Vehicles
- - Keywordautomobile, used, Korean car, truck, bus, second hand, autoparts, construction machine
Contact Information
- - Address
253, 2F, Namdaemun-ro, 5ga Joong-gu Seoul Seoul, Seoul
- - Country/Region
Korea
- - Phone
82 - 2 - 26720337
- - Fax
82 - 2 - 26722254
- - Contact So, Yoo-jin
EC21 Membership Information
- - Membership Class Free Member
- - Membership Year 20 years
- - EC21 Registered Date Jun 08. 2006
- - Authentication Unverified
- - EC21 Registered IP
218.49.75.***
This is
Encar Networks Co. Ltd.‘s IP address when
Encar Networks Co. Ltd. joined EC21.com.
- Geolocation based on IP address:
Republic of Korea
Please use above information to identify fraud company with rough assumption. It has 99.8% accuracy on a country level.
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