Mail Boxes Etc
1
36M
1
0.02
1
- Areas of investment
Summary
Mail Boxes Etc appeared to be the Corporate Investor, which was created in 1980. The fund was located in Europe if to be more exact in Italy. The leading representative office of defined Corporate Investor is situated in the Milan.
The common things for fund are deals in the range of 10 - 50 millions dollars. The top amount of exits for fund were in 2001. The important activity for fund was in 2000. The fund is constantly included in less than 2 deals per year.
Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. We can highlight the next thriving fund investment areas, such as Automotive, Financial Services. For fund there is no match between the location of its establishment and the land of its numerous investments - United Kingdom. Among the most popular portfolio startups of the fund, we may highlight PeopleFirst.com.
The standard case for the fund is to invest in rounds with 9 partakers. The meaningful sponsors for the fund in investment in the same round are Richland Ventures, Morgan Stanley Expansion Capital, Morgan Stanley Dean Witter.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Exits
- 1
- Rounds per year
- 0.02
- Investments by industry
- Automotive (1)
- Financial Services (1)
- Internet (1)
- Investments by region
-
- United Kingdom (1)
- Peak activity year
- 2000
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
- 26
- Group Appearance index
- 1.00
- Avg. company exit year
- 6
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 |
---|
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.