Minsheng Securities

Total investments

12

Average round size

99M

Portfolio companies

12

Rounds per year

0.32

Lead investments

2

Exits

2

Areas of investment
TransportationSoftwareFinanceArtificial IntelligenceHealth CareRoboticsManufacturingComputerConsumer ElectronicsProduct Research

Summary

The typical startup value when the investment from Minsheng Securities is more than 1 billion dollars. The usual things for fund are deals in the range of more than 100 millions dollars. The fund is generally included in less than 2 deals every year. The top activity for fund was in 2018.

We can highlight the next thriving fund investment areas, such as Industrial Engineering, Robotics. Among the various public portfolio startups of the fund, we may underline UBTech Robotics, UBTech Robotics

The typical case for the fund is to invest in rounds with 7 participants. Despite the Minsheng Securities, startups are often financed by Qiming Venture Partners, CITIC Securities, CDH Investments. The meaningful sponsors for the fund in investment in the same round are Tencent Holdings, Telstra Ventures, Haier.

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Investments analytics

Analytics

Total investments
12
Lead investments
2
Exits
2
Rounds per year
0.32
Investments by industry
  • Manufacturing (3)
  • Software (2)
  • Artificial Intelligence (2)
  • Consumer Electronics (2)
  • Computer (1)
  • Show 26 more
Investments by region
  • China (12)
Peak activity year
2022
Number of Unicorns
2
Number of Decacorns
2

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Quantitative data

Avg. startup age at the time of investment
12
Avg. valuation at time of investment
481M
Group Appearance index
0.92
Avg. company exit year
22
Strategy success index
0.40

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
FREQCHIP 01 Nov 2022 Consumer Electronics, Electronics, Wireless Early Stage Venture Shanghai, China
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.