After moving through several iterations of our proprietary startup rating algorithm, the investment team at KingsCrowd decided to categorize startups by their product offerings. In doing so, we can better evaluate metrics like risk — especially when it comes to product development. The four categories we use are: Hardware / CPG (consumer packaged goods), Services, Pharma (pharmaceuticals), and Software.
This chart of the week explores the average valuation tied to each of these product categories. This data is inclusive of all startup campaigns, whether active or closed, that started raising capital via the online private markets on or after January 1, 2021. The data combines pre-money and capped valuations and is representative of Regulation Crowdfunding equity deals.
Interestingly, three categories of product offering were within a $500,000 range when it came to average valuation. Service, pharma, and software startups all had average valuations between $13.6 million and $13.1 million. Meanwhile, the hardware / CPG category had the highest average valuation at just under $20 million.
Though placing a valuation on an early stage startup is more of an art than a science, we can speculate as to why hardware / CPG companies had such higher valuations on average. For one, hardware and CPG companies traditionally have more physical assets. Additionally, they may be able to acquire traction by way of users and customers more quickly than other types of companies — pharma startups, for example, have to go through FDA clearance first. Combined, these factors likely contribute to faster monetization and accumulation of assets — both of which lead to higher company valuations.
Note: all data used for the Chart of the Week comes from the KingsCrowd database and represents a snapshot of the crowdfunding market.
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About: Olivia Strobl
Olivia comes to KingsCrowd with a background in venture capital and technology. She spent time at Glasswing Ventures, an AI-focused venture fund in Boston, before joining the KingsCrowd team. There she helped develop machine learning algorithms for the opportunity qualification of preseed and seed-stage startup companies. Prior to her time at Glasswing, Olivia worked in a lab studying the neural correlates of attention. She holds a degree in Neuroscience from Wellesley College.