Soros Fund Management

Total investments

75

Average round size

259M

Portfolio companies

51

Rounds per year

1.36

Lead investments

6

Follow on index

0.32

Exits

17

Stages of investment
Private Equity
Areas of investment
AutomotiveTransportationSoftwareFinancial ServicesFinTechInformation TechnologyInformation ServicesAppsManufacturingBanking

Summary

Soros Fund Management appeared to be the VC, which was created in 1969. The fund was located in North America if to be more exact in United States. The leading representative office of defined VC is situated in the New York.

The typical case for the fund is to invest in rounds with 4-5 participants. Despite the Soros Fund Management, startups are often financed by Valor Capital Group, Jefferies, Sternhill Partners. The meaningful sponsors for the fund in investment in the same round are Jefferies, Sprout Group, Point72 Ventures. In the next rounds fund is usually obtained by Jefferies, Recharge Capital, Point72 Ventures.

The current fund was established by George Soros. Besides them, we counted 10 critical employees of this fund in our database.

For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Among the most popular fund investment industries, there are Software, Information Services. Among the most popular portfolio startups of the fund, we may highlight Arno Therapeutics, RLX Technologies, Virtru. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. The fund has no exact preference in some founders of portfolio startups. When startup sums 4 or 5+ of the founder, the probability for it to get the investment is little.

The fund is constantly included in less than 2 investment rounds annually. Comparing to the other companies, this Soros Fund Management performs on 3 percentage points less the average number of lead investments. The typical startup value when the investment from Soros Fund Management is 100-500 millions dollars. The top activity for fund was in 2018. Despite it in 2019 the fund had an activity. Speaking about the real fund results, this VC is 1 percentage points more often commits exit comparing to other organizations. The higher amount of exits for fund were in 2018. The common things for fund are deals in the range of 50 - 100 millions dollars.

Show more

Investments analytics

Analytics

Total investments
75
Lead investments
6
Exits
17
Rounds per year
1.36
Follow on index
0.32
Investments by industry
  • FinTech (18)
  • Financial Services (13)
  • Software (12)
  • Transportation (11)
  • Information Technology (10)
  • Show 112 more
Investments by region
  • United States (53)
  • United Kingdom (2)
  • China (3)
  • Argentina (7)
  • Canada (2)
  • Show 4 more
Peak activity year
2021
Number of Unicorns
10
Number of Decacorns
11
Number of Minotaurs
9

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
20
Avg. valuation at time of investment
1B
Group Appearance index
0.84
Avg. company exit year
19
Avg. multiplicator
0.17
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
Einride 06 May 2021 Logistics, Transportation, Autonomous Vehicles, Electric Vehicle Early Stage Venture 110M Stockholm County, Stockholm, Sweden
Zeus Living 09 May 2020 Real Estate, Property Management, Leisure, Home Decor, Home Improvement, Residential Early Stage Venture 15M United States, California, San Francisco

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.