Investcorp

Total investments

90

Average round size

38M

Portfolio companies

66

Rounds per year

2.14

Lead investments

31

Follow on index

0.27

Exits

25

Stages of investment
Private EquityEarly Stage VentureLate Stage Venture
Areas of investment
AccountingE-CommerceInternetSoftwareInformation TechnologyEnterprise SoftwareSemiconductorTelecommunicationsAdviceLegal

Summary

In 1982 was created Investcorp, which is appeared as VC. The venture was found in Asia in Bahrain. The main department of described VC is located in the Manama.

For fund there is no match between the location of its establishment and the land of its numerous investments - United States. The fund has specific favorite in a number of founders of portfolio startups. When startup sums 3 or 5+ of the founder, the probability for it to get the investment is little. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight FleetMatics, BayPackets, Platform Solutions. We can highlight the next thriving fund investment areas, such as Security, Information Technology.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the Investcorp, startups are often financed by August Capital, Venrock, Mayfield Fund. The meaningful sponsors for the fund in investment in the same round are August Capital, Investor Growth Capital Limited, Venrock. In the next rounds fund is usually obtained by August Capital, Investor Growth Capital Limited, Partner Ventures.

The high activity for fund was in 2000. Despite it in 2019 the fund had an activity. The average startup value when the investment from Investcorp is 10-50 millions dollars. The top amount of exits for fund were in 2016. Considering the real fund results, this VC is 19 percentage points more often commits exit comparing to other organizations. The fund is constantly included in 2-6 investment rounds annually. Deals in the range of 10 - 50 millions dollars are the general things for fund. This Investcorp works on 12 percentage points more the average amount of lead investments comparing to the other organizations.

This organization was formed by Nemir A. Kirdar. Besides them, we counted 50 critical employees of this fund in our database.

Show more

Investments analytics

Analytics

Total investments
90
Lead investments
31
Exits
25
Rounds per year
2.14
Follow on index
0.27
Investments by industry
  • Software (18)
  • Internet (15)
  • Information Technology (10)
  • E-Commerce (10)
  • Enterprise Software (10)
  • Show 109 more
Investments by region
  • India (23)
  • United States (40)
  • Denmark (7)
  • China (3)
  • Saudi Arabia (2)
  • Show 6 more
Peak activity year
2023
Number of Unicorns
3
Number of Decacorns
3

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
17
Avg. valuation at time of investment
121M
Group Appearance index
0.64
Avg. company exit year
11
Avg. multiplicator
2.88
Strategy success index
0.30

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
Abcuro 09 Nov 2018 Biotechnology, Health Care, Medical, Therapeutics Early Stage Venture 8M United States, Massachusetts, Newton
Block Scholes 10 Nov 2023 Early Stage Venture 3M
bijnis.com | Taking Factories to the World 14 Oct 2016 Wholesale, B2B, Fashion, Shoes Seed 117K Delhi, New Delhi, India
Vaultus 05 Mar 2001 Mobile, Enterprise Software, Security, Wireless Early Stage Venture 32M United States, New York, New York

Similar funds

By same location

By same geo focus

By doing lead investments

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.