
Sridhar Vembu, the founder of Zoho, has once again sounded the alarm regarding the escalating valuations in the technology sector, attributing much of this phenomenon to the rise of artificial intelligence. In a thought-provoking post on social media platform X, Vembu highlighted the soaring price-to-sales ratios of leading tech firms, which include Nvidia at 20 times, Apple at 10 times, Alphabet at 11 times, Microsoft at 10 times, Meta at 7.5 times, and Micron at 19 times. Referencing a statement made by former Sun Microsystems CEO Scott McNealy in the wake of the dot-com crash, Vembu pointed out the implications of high valuations. He stated, "At 10 times revenues, to provide a ten-year payback, I would need to pay you 100% of revenues for a decade..." His conclusion was unequivocal: "This is an insane bubble, even larger than what we experienced in 1999." Vembu's remarks spurred a lively debate online, with many users asserting that comparisons to the dot-com era fail to consider a crucial difference: today’s tech giants are achieving significant profits. One commentator noted, "Price-to-sales ratios apply to manufacturing firms with minimal product differentiation and low profit margins. They don't apply to companies like Nvidia that convert more than half of their sales into net income." Kislay Parashar from Cosmic Labs echoed this sentiment, emphasizing that unlike the companies of 1999, which were often burning cash, today's tech firms are generating substantial cash flow. However, the discussion did not end there; another user, Naren, argued that relying solely on price-to-sales ratios offers a limited perspective. He stated, "P/S without margins is a vanity metric. McNealy’s 10x remark pertained to a ~10% margin on hardware, while Nvidia boasts a 63% net margin and a 32 P/E ratio, which is a different scenario from 1999, where comparable companies had high P/S ratios but zero earnings. Moreover, Micron's '19x'? Their revenue has tripled year-over-year, pointing to a forward P/S of around 7, indicating we're pricing based on outdated trailing sales in a cyclical market."
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