IDEAS home Printed from https://ideas.repec.org/p/ecl/stabus/3849.html
   My bibliography  Save this paper

Squaring Venture Capital Valuations with Reality

Author

Listed:
  • Strebulaev, Ilya A.
  • Gornall, Will

Abstract

We develop a valuation model for venture capital-backed companies and apply it to 135 US unicorns, that is, private companies with reported valuations above $1 billion. We value unicorns using financial terms from legal filings and find that reported unicorn post-money valuations average 48% above fair value, with 14 being more than 100% above. Reported valuations assume that all shares are as valuable as the most recently issued preferred shares. We calculate values for each share class, which yields lower valuations because most unicorns gave recent investors major protections such as initial public offering (IPO) return guarantees (15%), vetoes over down-IPOs (24%), or seniority to all other investors (30%). Common shares lack all such protections and are 56% overvalued. After adjusting for these valuation-inflating terms, almost one-half (65 out of 135) of unicorns lose their unicorn status.

Suggested Citation

  • Strebulaev, Ilya A. & Gornall, Will, 2019. "Squaring Venture Capital Valuations with Reality," Research Papers 3849, Stanford University, Graduate School of Business.
    • Handle: RePEc:ecl:stabus:3849
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gompers, Paul A. & Gornall, Will & Kaplan, Steven N. & Strebulaev, Ilya A., 2020. "How do venture capitalists make decisions?," Journal of Financial Economics, Elsevier, vol. 135(1), pages 169-190.
    2. Kwon, Sungjoung & Lowry, Michelle & Qian, Yiming, 2020. "Mutual fund investments in private firms," Journal of Financial Economics, Elsevier, vol. 136(2), pages 407-443.
    3. Dominika Gajdosikova & Katarina Valaskova & Tomas Kliestik & Maria Kovacova, 2023. "Research on Corporate Indebtedness Determinants: A Case Study of Visegrad Group Countries," Mathematics, MDPI, vol. 11(2), pages 1-30, January.
    4. Gabriel Marcuzzo Canto Cavalheiro & Mariana Brandao Cavalheiro, 2024. "Cluster Analysis of the Internationalization of Unicorns from Latin America Based on Trademark Registrations," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1650-1665, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecl:stabus:3849. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/gsstaus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.