Top IPO Scholar on Unprecedented IPO Wave & Why IPOs Underperform the Market | Jay Ritter

Episode Summary

Executive Summary: Jay Ritter argues the current IPO surge is historic in size, driven by mega-deals like SpaceX, but not necessarily a broad IPO boom. He says large, revenue-rich IPOs are usually priced efficiently, while extreme price-to-sales valuations deserve caution. The discussion also covers AI enthusiasm, market-timing signals, private-market valuation distortions, and the risks of retail access to private assets.

Main Topics: Historic mega-IPOs and market context (Priority: 5/5): The episode opens with whether three trillion-plus-dollar IPOs would be unprecedented and how they compare with prior records in nominal, inflation-adjusted, and market-cap terms. Whether giant IPOs signal market tops (Priority: 4/5): Ritter explains that large IPOs often coincide with overheated markets, but predictive power is weak and market timing remains highly unreliable. IPO pricing and long-run performance (Priority: 5/5): He distinguishes between average IPO underperformance and the different behavior of large, revenue-generating companies, which tend to be priced more efficiently by institutional investors. SpaceX valuation, conglomerate structure, and AI exposure (Priority: 5/5): Ritter expresses concern about SpaceX’s very high valuation and the challenge of justifying it, while also discussing its mix of launch, Starlink, and AI-related businesses. AI disruption, regulation, and national-security implications (Priority: 4/5): The conversation explores AI’s disruptive potential, the difficulty of regulating fast-moving technology, and the strategic competition between the U.S. and China. Private markets, illiquidity, and retail access (Priority: 5/5): Ritter argues that venture capital/private equity returns have likely been bid down, the illiquidity premium may be near zero, and new retail/private-product structures may increase fees and fraud risk. Price discovery, stale marks, and perpetual futures (Priority: 4/5): The episode examines whether public price signals and perps on private companies could pressure private funds to mark assets more accurately and reduce stale-price arbitrage.

Key Arguments: The current IPO period is historic in absolute size, but the number of IPOs is not near prior boom years like 2021. Large IPOs with meaningful revenue generally do not underperform on average because institutional investors value them against comparables. Very high price-to-sales IPOs have historically underperformed, making SpaceX’s valuation especially hard to justify. AI is likely to be transformative, but the main benefits may accrue to consumers and workers rather than equity holders. Regulation is difficult because AI is both economically disruptive and strategically important; overregulation can reduce innovation and competitiveness. Private capital has attracted so much money that expected returns are lower and the illiquidity premium is likely compressed. Retail access to private assets often adds fees and adverse selection, so it does not create a free lunch. Publicly traded derivatives and transparent price signals may eventually force more accurate marking of private assets and increase oversight.

Data Points: Largest IPO before current cycle (nominal): $29 billion - Saudi Aramco in 2019 was the previous largest nominal IPO before SpaceX. Largest IPO before current cycle (inflation-adjusted): ~$45 billion - NTT’s 1987 privatization in Japan was cited as the biggest IPO ever in inflation-adjusted terms before SpaceX. SpaceX IPO size relative to prior record: Approximately 2x - Ritter said SpaceX was about twice as large as the prior inflation-adjusted record. Annual operating companies IPO count in 2021: 311 - Used to show that the current year’s IPO count is far below the 2021 boom. Annual revenue threshold for better average IPO outcomes: $100 million+ - Ritter said IPOs with at least this much annual revenue tend not to underperform on average. SpaceX price-to-sales ratio: Over 90 - Highlighted as unusually high and historically associated with weaker subsequent performance. Illustrative SpaceX valuation: Around $2 trillion - Used to show the scale of earnings/profitability needed to justify the valuation. Profit target implied by $2 trillion valuation at P/E 20: $100 billion annual after-tax profits - Ritter’s back-of-the-envelope justification requirement for such a valuation. Life sciences share of IPOs (2013-2022): About 30% - He cited biotech as a major exception where many firms went public pre-revenue. Time horizon for typical IPO underperformance: Around 3 years - Average IPOs tend to underperform over the first few years after going public. U.S. venture capital comparative success: Far more 10-baggers than other regions - Explains why U.S. VC has attracted more capital than Japanese, European, or Latin American VC.

Pivotal Quotes: "There are very good reasons to be really excited about AI. But what's the right price?" — Jay Ritter: He summarizes the tension between legitimate enthusiasm for AI and concern about inflated valuations. "When you buy high, expected returns are lower." — Jay Ritter: He explains why heavy capital inflows into venture capital and private equity likely reduce future returns. "I don't see any reason to think that a free lunch is sitting there." — Jay Ritter: His conclusion on retail access to private markets and whether those products offer superior risk-adjusted returns.

Implications: Investors should separate enthusiasm for AI and mega-IPO narratives from valuation discipline. Large, revenue-rich offerings may be priced more rationally than hype suggests, but private-market access, stale marks, and derivative pricing could increase scrutiny and compress returns.