ITOCHU Corporation

Type

Corporate investor

Status

Active

Location

Osaka City, Japan

Total investments

179

Average round size

22M

Portfolio companies

140

Rounds per year

1.08

Lead investments

17

Follow on index

0.21

Exits

31

Stages of investment
Private EquityEarly Stage VentureLate Stage Venture
Areas of investment
E-CommerceInternetSoftwareFinancial ServicesAnalyticsFinanceHealth CareManufacturingFashionRenewable Energy

Summary

In 1858 was created ITOCHU Corporation, which is appeared as Corporate Investor. The company was established in Asia in Japan. The main department of described Corporate Investor is located in the Tokyo.

We also calculated 1 valuable employee in our database.

The increased amount of exits for fund were in 2019. Deals in the range of 10 - 50 millions dollars are the general things for fund. When the investment is from ITOCHU Corporation the average startup value is 100-500 millions dollars. Considering the real fund results, this Corporate Investor is 4 percentage points more often commits exit comparing to other organizations. This ITOCHU Corporation works on 7 percentage points less the average amount of lead investments comparing to the other organizations. The fund is generally included in 2-6 deals every year. The top activity for fund was in 2019.

The standard case for the fund is to invest in rounds with 3-4 partakers. Despite the ITOCHU Corporation, startups are often financed by Ventech China, North Bridge Venture Partners & Growth Equity, Walgreens. The meaningful sponsors for the fund in investment in the same round are Ventech China, Focus Ventures, ZhenFund. In the next rounds fund is usually obtained by SBI Investment, General Motors Ventures, Femto Growth Capital.

Among the most popular fund investment industries, there are Software, Medical. For fund there is no match between the location of its establishment and the land of its numerous investments - United States. Among the most popular portfolio startups of the fund, we may highlight Starent Networks, Singulato Motors, Spire Global. The fund has no exact preference in some founders of portfolio startups. In case when startup counts 4 of the founder, the chance for it to get the investment is meager. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund.

Show more

Investor highlights

Stage focus
Seed

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
179
Lead investments
17
Exits
31
Rounds per year
1.08
Follow on index
0.21
Investments by industry
  • Internet (27)
  • E-Commerce (22)
  • Health Care (21)
  • Financial Services (20)
  • Software (17)
  • Show 203 more
Investments by region
  • United States (55)
  • Japan (74)
  • China (15)
  • Singapore (5)
  • Norway (2)
  • Show 11 more
Peak activity year
2019
Number of Unicorns
7
Number of Decacorns
7
Number of Minotaurs
2

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
13
Avg. valuation at time of investment
120M
Group Appearance index
0.76
Avg. company exit year
14
Avg. multiplicator
5.74
Strategy success index
1.00

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
Clean Energy Connect 26 Jan 2023 Renewable Energy, Clean Energy, Electrical Distribution Early Stage Venture 8M Chiyoda, Japan
Docquity 05 Sep 2022 Other Healthcare Technology Systems, Social/Platform Software, Health Care, Hospital, Medical Late Stage Venture 44M Central, Singapore, Singapore
How we get our data

At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.