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White And Black Trading

White And Black Trading Revenue

Recreational FacilitiesFlag of SGClementi, West Region, Singapore1-10 Employees

$

White And Black Trading revenue & valuation

Annual revenue$427,775
Revenue per employee$86,000
Estimated valuation?$1,400,000
Total fundingNo funding

Key Contact at White And Black Trading

Flag of GB

Justinna Pank

Director

Company overview

Headquarters48 Toh Guan Rd E , #09-123 , Enterprise Hub, Singapore, 608586, SG
Website
NAICS713
SIC513
Keywords
, Micro Scooters, Crazy Catch, Ezyroller, Penny Skateboards, Quickplay, Swingball, Waboba
Founded2009
Employees1-10
Socials

White And Black Trading Email Formats

White And Black Trading uses 1 email format. The most common is {first name} (e.g., john@whiteandblacktrading.com), used 100% of the time.

FormatExamplePercentage
{first name}
john@whiteandblacktrading.com
100%

About White And Black Trading

White And Black Trading is a recreational facilities and services company based out of 48 Toh Guan Rd E , #05-153 , Enterprise Hub, 608586, Singapore.

Employees by Management Level

Total employees: 1-10

Seniority

Employees

Director

Funding Data

White And Black Trading has never raised funding before.

Frequently asked questions

White And Black Trading is located in Clementi, West Region, SG.
White And Black Trading generates an estimated annual revenue of $427,775. This revenue figure reflects the company's market position and business performance in its industry.
White And Black Trading has an estimated valuation of $1,400,000. This valuation is calculated based on industry-standard revenue multiples and reflects the company's growth potential and market positioning.
White And Black Trading was founded in 2009, making it 17 years old. The company has established itself as a significant player in its industry over this time.
White And Black Trading has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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