Nvidia reported $6.05 billion in revenue for the fiscal
fourth quarter and adjusted EPS of 88 cents, edging out the Wall Street
consensus. It forecast $6.5 billion in sales for the upcoming quarter.
Analysts responded positively both to Nvidia’s results and
to growth in its data center business, with a slew of reiterated or upgraded
ratings coming after the report. That vertical is home to most of Nvidia’s
sales of GPUs for artificial intelligence and grew 11% year over year.
More than a dozen analysts hiked their target prices or held
a positive rating on the stock.
“AI adoption is at an inflection point. OpenAI’s ChatGPT has
captured interest worldwide, allowing people to experience AI firsthand, showing
what’s possible with generative AI,” CEO Jensen Huang said on a Wednesday call
with analysts. Earlier this year, Huang called the transformation an “iPhone
moment” at a University of California, Berkeley, fireside chat.
Nvidia’s AI play is “accelerating in a way that will have
disruptive implications” for both its competitors and “the world at large,”
Rosenblatt Securities’ Hans Mosesmann said in a Wednesday note.
Nvidia’s report on the same day Intel slashed its dividend
by two-thirds highlights a “multi-generational shift we have never witnessed,”
Mosesmann continued, reiterating a buy rating and setting a $320 price target.
Credit Suisse’s Chris Caso offered a similarly optimistic
note, calling Nvidia a stock “difficult not to own” and maintaining it as a
sector top pick. That assessment, Caso wrote, was driven by “a combination of
derisked gaming estimates coupled with what we believe is the strongest growth
potential in semis from AI/datacenter.” Caso hiked Nvidia’s price target from
$210 to $275.
And in an about-face, Goldman Sachs’ Toshiya Hari upgraded
Nvidia to a buy rating and set a $275 price target. “In hindsight, we
acknowledge that our decision to remain on the sidelines in anticipation of a
pullback in the company’s fundamentals was wrong,” Hari wrote in a Thursday
morning note, citing Nvidia’s “disciplined expense management” and accelerating
AI adoption.
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