Car-rental platform Turo Inc. has announced layoffs affecting about 150 employees, or 15% of its workforce.

This decision follows the company’s withdrawal of its initial public offering (IPO) plans in February.

The San Francisco-based company employs nearly 1,000 people and reported US$958 million in revenue for 2024, according to a blog post by CEO Andre Haddad.

Turo operates a peer-to-peer car-sharing platform with 3.5 million users and offers access to 340,000 vehicles.

Turo initially filed for an IPO but faced delays due to unfavorable market conditions.

🔗 Source: Bloomberg

🧠 Food for thought

1️⃣ IPO withdrawal signals continued market challenges for late-stage startups

Turo’s IPO withdrawal and subsequent layoffs highlight the persistent gap between private valuations and public market expectations in today’s economy.

The company had filed for an IPO three years ago and achieved unicorn status with a valuation over $1 billion in 2019, but ultimately chose to remain private despite reporting substantial revenue of $958 million in 20241.

This pattern of delayed or canceled IPOs has become increasingly common, as many venture-backed companies find it difficult to justify their private market valuations under public market scrutiny.

While Turo demonstrated significant scale with 3.5 million users and 340,000 vehicles on its platform, its growth rates had reportedly slowed, making it harder to attract public market investors who demand clear paths to profitability2.

The company’s decision to restructure through layoffs rather than pursue public funding reflects a pragmatic approach to extending runway and prioritizing long-term sustainability over rapid expansion.

2️⃣ Safety incidents create new operational challenges for sharing economy platforms

Recent high-profile incidents involving Turo vehicles in New Orleans and Las Vegas exposed vulnerabilities in peer-to-peer rental platforms that can affect business operations and growth.

The FBI investigated both cases where vehicles rented through Turo were used in attacks, raising questions about the platform’s risk assessment algorithms and vetting procedures3.