Nvidia now trades near its cheapest forward multiple in at least a decade, with widely shared charts putting the stock under 17x forward earnings and below the semiconductor index. The multiple compressed because earnings outran the share price, and traders are split on whether that is a buy setup or a warning that AI growth is being marked down.
多頭Nvidia is a buy at a decade-low multiple because earnings grew faster than the stock, not because the franchise broke. Bernstein's Stacy Rasgon says there is little room left for further multiple compression while fundamentals keep improving, and the last print this cheap in late 2018 preceded a monster run.
空頭The cheap multiple already prices weaker AI accelerator demand, so this is fair value rather than a bargain. Training gains are plateauing as workloads shift to inference, where ASICs are expected to take half the market, and a stalled hyperscaler capex cycle cuts Nvidia's 2030 revenue path well below the bull case.
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多頭論據
@BarchartNvidia is trading at its cheapest valuation in at least a decade
@Banana3StocksDecade-low NVDA valuation mirrors late 2018; Stacy Rasgon sees little room for more compression
@TradingThomas3The world's biggest company just hit its cheapest valuation in a decade
@kurtsaltrichterNVDA multiple fell from 65x in 2022 to ~13x because earnings outgrew the stock, not because the business broke
空頭論據
@oguzerkanCheap NVDA fairly prices inference/ASIC share loss and weaker AI accelerator demand, not a no-brainer
中立觀點
@BearBullTradersNVDA under 17x forward earnings trades below the ~20x semi index amid growth-sustainability doubts