DPD group
5
20M
4
0.11
2
0.20
- Areas of investment
Summary
In 1976 was created DPD group, which is appeared as Corporate Investor.
The standard case for the fund is to invest in rounds with 1 partaker. Despite the DPD group, startups are often financed by Monku2019s Hill Ventures, YJ Capital, B Capital Group. In the next rounds fund is usually obtained by L Marks, Grab.
Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Ninja Van. Among the most popular fund investment industries, there are E-Commerce, Transportation.
The top activity for fund was in 2018. The fund is generally included in less than 2 deals every year. The usual things for fund are deals in the range of 50 - 100 millions dollars.
Investments analytics
Analytics
- Total investments
- 5
- Lead investments
- 2
- Rounds per year
- 0.11
- Follow on index
- 0.20
- Investments by industry
- Logistics (4)
- Transportation (3)
- Information Technology (2)
- Courier Service (2)
- Delivery (1) Show 5 more
- Investments by region
-
- Singapore (1)
- Egypt (2)
- United Kingdom (1)
- Peak activity year
- 2020
- Number of Unicorns
- 1
- Number of Decacorns
- 1
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
- 5
- Avg. valuation at time of investment
- 325M
- Group Appearance index
- 0.40
- 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 |
|---|---|---|---|---|---|
| Bosta | 16 Feb 2020 | Logistics, Transportation, Information Technology, Courier Service | Seed | 2M | Cairo Governorate, Cairo, Egypt |
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.