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Women in Numbers

Women in Numbers Revenue

Non-profit OrganizationsFlag of AU30-36 Bay Street, Level 5, Australia1-10 Employees

$

Women in Numbers revenue & valuation

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

Key Contact at Women in Numbers

Flag of AU

Jessica Garcia

Co-Founder

Company overview

Headquarters30-36 Bay Street, Level 5, Double Bay, NSW 2028, AU
Website
NAICS813
Founded2024
Employees1-10

Women in Numbers Email Formats

Women in Numbers uses 1 email format. The most common is {first initial}.{last name} (e.g., j.doe@womeninnumbers.network), used 100% of the time.

FormatExamplePercentage
{first initial}.{last name}
j.doe@womeninnumbers.network
100%

About Women in Numbers

Our mission is clear: to elevate the role of Australian women in investing by creating a collaborative network that equips them with the knowledge, opportunities, and confidence needed to achieve financial influence.

Employees by Management Level

Total employees: 1-10

Seniority

Employees

Founder/Owner

Employees by Department

Women in Numbers has 1 employees across 1 departments.

Departments

Number of employees

Funding Data

Women in Numbers has never raised funding before.

Frequently asked questions

Women in Numbers is located in 30-36 Bay Street, Level 5, AU.
Women in Numbers generates an estimated annual revenue of $427,775. This revenue figure reflects the company's market position and business performance in its industry.
Women in Numbers 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.
Women in Numbers was founded in 2024, making it 2 years old. The company has established itself as a significant player in its industry over this time.
Women in Numbers 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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