Tikehau Capital

Paris, France
Private equity, Venture Debt, Other
Active
Total investments

142

Average round size

30M

Portfolio companies

129

Rounds per year

7.10

Lead investments

40

Follow on index

0.09

Exits

57

Stages of investment
Private Equity
Areas of investment
BiotechnologyReal EstateSoftwareFinancial ServicesInformation TechnologyHealth CareManufacturingCyber SecurityConsultingAgriculture

Investor highlights

Industry focus
ManufacturingAerospaceMilitaryB2B/EnterpriseCybersecurity Show 6 more
Geo focus
AlbaniaAustriaBelgiumBosnia and HerzegovinaBulgaria Show 39 more
Check size
11M — 218M

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Investments analytics

Last fund

Fund size
USD 300000000
Fund raised date
2023-02-06

Analytics

Total investments
142
Lead investments
40
Exits
57
Rounds per year
7.10
Follow on index
0.09
Investments by industry
  • Manufacturing (31)
  • Software (20)
  • Information Technology (16)
  • Health Care (15)
  • Financial Services (10)
  • Show 150 more
Investments by region
  • France (90)
  • Belgium (4)
  • United Kingdom (8)
  • Australia (2)
  • Spain (6)
  • Show 11 more
Peak activity year
2018
Number of Unicorns
5
Number of Decacorns
5
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
35
Avg. valuation at time of investment
90M
Group Appearance index
0.27
Avg. company exit year
39
Avg. multiplicator
9.53
Strategy success index
0.60

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Egerie Software24 Jan 2023Software, Cyber Security, Risk ManagementEarly Stage Venture35MProvence-Alpes-Côte d'Azur, Toulon, France
Main Street Health08 Oct 2023Health CareEarly Stage Venture315MUnited States, Nashville, Tennessee
MK Decision03 Oct 2018Financial Services, FinTech, Banking, Credit, Credit Bureau, Lending, Credit Cards, Web Apps, Risk ManagementSeed938KUnited States, California, San Diego
OBVIOHEALTH03 Aug 2017Health Care, Health DiagnosticsSeed2MCentral, Singapore, Singapore
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.