FTV Capital
Venture Capital
Active
San Francisco, United States
150
38M
116
5.77
51
0.23
48
- Stages of investment
- Areas of investment
Summary
FTV Capital is the famous VC, which was founded in 1998. The fund was located in North America if to be more exact in United States. The main office of represented VC is situated in the San Francisco.
The usual cause for the fund is to invest in rounds with 2-3 partakers. Despite the FTV Capital, startups are often financed by Battery Ventures, Viola Ventures, Vertex Ventures Israel. The meaningful sponsors for the fund in investment in the same round are Viola Ventures, Vertex Ventures Israel, Vertex Ventures. In the next rounds fund is usually obtained by Viola Ventures, Vertex Ventures Israel, Vertex Ventures.
Among the most successful fund investment fields, there are Payments, Software. Among the most popular portfolio startups of the fund, we may highlight Cortera, Centro, Utopia. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. The fund has no exact preference in some founders of portfolio startups. If startup sums 5+ of the founder, the chance for it to be financed is low. For fund there is a match between the location of its establishment and the land of its numerous investments - United States.
The common things for fund are deals in the range of 10 - 50 millions dollars. The top amount of exits for fund were in 2015. The real fund results show that this VC is 48 percentage points more often commits exit comparing to other companies. The fund is generally included in 2-6 deals every year. The high activity for fund was in 2015. Despite it in 2019 the fund had an activity. This FTV Capital works on 0 percentage points more the average amount of lead investments comparing to the other organizations.
The fund was created by Jim Hale, Robert Huret. We also calculated 10 valuable employees in our database.
Investor highlights
- Industry focus
- Geo focus
- Check size
- Up to 250M
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Last fund
- Fund size
- USD 2300000000
- Fund raised date
- 2022-03-23
Analytics
- Total investments
- 150
- Lead investments
- 51
- Exits
- 48
- Rounds per year
- 5.77
- Follow on index
- 0.23
- Investments by industry
- Software (51)
- Financial Services (40)
- FinTech (30)
- Enterprise Software (25)
- Information Technology (23) Show 145 more
- Investments by region
-
- United States (114)
- United Kingdom (16)
- Ireland (3)
- India (3)
- Brazil (4) Show 4 more
- Peak activity year
- 2020
- Number of Unicorns
- 6
- Number of Decacorns
- 6
- Number of Minotaurs
- 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
- 16
- Avg. valuation at time of investment
- 121M
- Group Appearance index
- 0.53
- Avg. company exit year
- 13
- Avg. multiplicator
- 2.69
- Strategy success index
- 0.90
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 |
|---|---|---|---|---|---|
| Gale Healthcare | 19 Jan 2022 | Recruiting, Health Care, Nursing and Residential Care | Early Stage Venture | 60M | United States, Florida, Tampa |
| Keen Home | 24 Jun 2015 | Software, Hardware, Internet of Things, Smart Home, Wireless | Seed | 100K | United States, New York, New York |
| Luma Health | 23 Nov 2021 | Health Care, Apps, Electronic Health Record (EHR), mHealth, Unified Communications, Scheduling | Late Stage Venture | 130M | United States, California, San Francisco |
Similar funds
By same location
By same geo focus
By doing lead investments
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.