AI-mania has led to a significant rise in market multiples, and investors appear to be lengthening their valuation horizons. In aggregate, we are looking at average annual earnings growth of 20% over the next five years being priced in, which would be a 1-in-20 event. While these… https://t.co/jiH1JomMLh
S&P500 price-to-book ratio now exceeds March 2000 high, per Bank of America, $BAC: https://t.co/rKV6zhgSsR
The market cap of US companies now trading at >10x EV/Ebitda is at the same level of the 2021 mania and close to Tech Bubble levels. A healthy bull market, right? https://t.co/Z91BBJkPAF





The rapid adoption of artificial intelligence (AI) technologies is significantly impacting business valuations and venture capital investments. Startups are increasingly achieving remarkable revenue milestones, with some going from zero to $4 million in annual recurring revenue (ARR) within a year. This trend is reflected in the current investment landscape, where venture capitalists are reportedly investing in AI companies at an astonishing multiple of 200 times ARR. The S&P 500 index ($SPX) is showing elevated valuation metrics, with a forward 12-month price-to-earnings (P/E) ratio of 22.3, surpassing both the 5-year average of 19.7 and the 10-year average of 18.1. This valuation is close to the historical high of 25.0x recorded during the dot-com bubble in 1999. Furthermore, the market is witnessing a significant concentration of high valuations, as the top 10 S&P 500 stocks have a forward P/E ratio approaching 30x, indicating a market environment reminiscent of the tech bubble era. Analysts note that the share of stocks with enterprise value-to-sales ratios exceeding 10x has also risen to 13%, a level comparable to that seen during the 2021 tech boom.