JD Logistics

Total investments

4

Average round size

32M

Portfolio companies

2

Rounds per year

0.27

Lead investments

2

Areas of investment
AutomotiveLogisticsFreight ServiceTransportationRetailManufacturingJewelry

Summary

JD Logistics is the famous Corporate Investor, which was founded in 2007. The company was established in Asia in China. The main department of described Corporate Investor is located in the Beijing.

The standard case for the fund is to invest in rounds with 1 partaker. Despite the JD Logistics, startups are often financed by Even.

We can highlight the next thriving fund investment areas, such as Supply Chain Management, Logistics. For fund there is a match between the country of its foundation and the country of its the most frequent investments - China. Moreover, a startup needs to be at the age of more than 20 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Xinning Logistics

The higher amount of exits for fund were in 2009. The fund is generally included in less than 2 deals every year. Deals in the range of 50 - 100 millions dollars are the general things for fund. The top activity for fund was in 2019.

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Investments analytics

Analytics

Total investments
4
Lead investments
2
Rounds per year
0.27
Investments by industry
  • Jewelry (1)
  • Manufacturing (1)
  • Retail (1)
  • Transportation (1)
  • Logistics (1)
  • Show 2 more
Investments by region
  • China (2)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Inceptio Technology 03 Aug 2021 Automotive, Logistics, Freight Service, Transportation Early Stage Venture 270M 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.