Alexander Karp, chief executive officer and co-founder of Palantir Technologies Inc.
Scott Eelis | Bloomberg | Getty Images
Palantir‘s astronomical rise since its public debut on the New York Stock Exchange in a 2020 direct listing has been nothing short of a whirlwind.
Over nearly five years, the Denver-based company, whose cofounders include renowned venture capitalist Peter Thiel and current CEO Alex Karp, has surged more than 1,700%. At the same time, its valuation has broken new highs, dwarfing some of the world’s technology behemoths with far greater revenues.
The artificial intelligence-powered software company continued its ascent last week after posting its first quarter with more than $1 billion in revenue, reaching new highs and soaring past a $430 billion market valuation.
Shares haven’t been below $100 since April 2025. The stock last traded below $10 in May 2023, before beginning a steady climb higher.
Last month, retail poured $1.2 billion into Palantir stock, according to data from Goldman Sachs.
Here’s a closer look at Palantir’s growth over the last five years and how the company compares to megacap peers.
Government money
Government contracts have been one of Palantir’s biggest growth areas since its inception.
Last quarter, the company’s U.S. government revenue grew 53% to $426 million. Government accounted for 55% of the company’s total revenue but commercial is showing promise. Those revenues in the U.S. grew 93% last quarter, Palantir said.
Still, one of the company’s oldest customers is the U.S. Army.
Earlier this month, the company inked a contract worth up to $10 billion for data and software to streamline efficiencies and meet growing military needs. In May, the Department of Defense boosted its agreement with Palantir for AI-powered battlefield capabilities by $795 million.
“We still believe America is the leader of the free world, that the West is superior,” Karp said on an earnings call earlier this month. “We have to fight for these values; we should give American corporations, and, most importantly, our government, an unfair advantage.”
Beyond the U.S.
The U.S. has been a key driver of Palantir’s growth, especially as the company scoops up more contracts with the U.S. military.
Palantir said the U.S. currently accounts for about three-quarters of total revenues. Commercial international revenues declined 3% last quarter and analysts have raised concerns about that segment’s growth trajectory.
Over the last five years, U.S. revenues have nearly quintupled from $156 million to about $733 million. Revenues outside the U.S. have doubled from about $133 million to $271 million.
Paying a premium
Palantir’s market capitalization has rapidly ascended over the last year as investors bet on its AI tools, while its stock has soared nearly 500%.
The meteoric rise placed Palantir among the top 10 U.S. tech firms and top 20 most valuable U.S. companies. But Palantir makes a fraction of the revenue of the companies in those lists.
Last quarter, Palantir reported more than $1 billion in quarterly revenue for the first time, and its forward price-to-earnings ratio has surged past 280 times.
By comparison, Apple and Microsoft posted revenue of $94 billion and $76 billion during the period, respectively, and carry a PE ratio of nearly 30 times.
Forward PE is a valuation metric that compares a company’s future earnings to its current share price. The higher the PE, the higher the growth expectations or the more overvalued the asset. A lower price-to-earnings ratio suggests slower growth or an undervalued asset.
Most of the Magnificent Seven stocks, except for Nvidia and Tesla, have a forward PE that hovers around the 20s and 30s. Nvidia trades at more than 40 times forward earnings, while Tesla’s sits at about 198 times.
At these levels, investors are paying a jacked-up premium to own shares of one of the hottest AI stocks on Wall Street as its valuation has skyrocketed to astronomical heights.
“This is a once-in-a-generation, truly anomalous quarter, and we’re very proud,” Karp said on an earnings call following Palantir’s second-quarter results. “We’re sorry that our haters are disappointed, but there are many more quarters to be disappointed.”
A worsening macroeconomic climate and the collapse of industry giants such as FTX and Terra have weighed on bitcoin’s price this year.
STR | Nurphoto via Getty Images
The crypto market tumbled to begin the week as heightened macro concerns triggered more than $500 million in forced selling of long positions.
The price of bitcoin was last lower by 2% at $115,255.70, after touching a new all-time high last week – its fourth one this year – at $124,496. At one point, it fell as low as $114,706. Ether slid 4% to $4,283.15 after coming within spitting distance of its roughly $4,800 record last week. Both coins rolled over after higher-than-expected July wholesale inflation data raised questions over a Federal Reserve rate cut in September.
Investors’ profit-taking triggered a wave of liquidations across the crypto market.
In the past 24 hours, sales from 131,455 traders totaled $552.58 million, according to Coin Metrics. That figure includes about $123 million in long bitcoin liquidations and $178 million in long ether liquidations. This happens when traders are forced to sell their assets at market price to settle their debts, pushing prices lower.
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Bitcoin briefly dropped below $115,000 after reaching nearly $125,000 last week
Adding to investor disappointment were comments from Treasury Secretary Scott Bessent, who clarified Thursday that the strategic bitcoin reserve President Donald Trump established back in March will be confined to bitcoin forfeited to the federal government, as it explores “budget-neutral pathways to acquire more bitcoin.”
The top cryptocurrencies by market cap fell with the blue-chip coins, with the CoinDesk 20 index, a measure of the broader crypto market, down 3.7%. Crypto related stocks were under pressure premarket, led by ether treasury stocks. Bitmine Immersion was down 6% and SharpLink Gaming fell 3%. Crypto exchange Bullish, which made its public trading debut last week, was also lower by 3%.
This week, investors are keeping an eye on the Fed’s annual economic symposium in Jackson Hole, Wyoming for clues around what could happen at the central bank’s remaining policy meetings this year. Crypto traders also will be watching Thursday’s jobless claims data.
Last week’s test of bitcoin and ether highs surprised traders who expected an August pullback for cryptocurrencies, expecting macro concerns to steal focus from recent momentum around crypto’s institutional and corporate adoption – especially in what has historically proven a weak trading month for many markets – until the September Fed meeting.
Many see pullbacks this month as healthy and strategic cooldowns rather than reactions to crisis, thanks largely to support from crypto ETFs as well as companies focused on aggressively accumulating bitcoin and ether. Although ETFs tracking the price of bitcoin and ether posted net outflows on Friday, they logged net inflows of $547 million and $2.9 billion, respectively, for the week. For ETH funds it was a record week of inflows as well as their 14th consecutive week of inflows.
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OpenAI CEO Sam Altman thinks the artificial intelligence market is in a bubble, according to a report from The Verge published Friday.
“When bubbles happen, smart people get overexcited about a kernel of truth,” Altman told a small group of reporters last week.
“Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes. Is AI the most important thing to happen in a very long time? My opinion is also yes,” he was quoted as saying.
Altman appeared to compare this dynamic to the infamous dot-com bubble, a stock market crash centered on internet-based companies that led to massive investor enthusiasm during the late 1990s. Between March 2000 and October 2002, the Nasdaq lost nearly 80% of its value after many of these companies failed to generate revenue or profits.
His comments add to growing concern among experts and analysts that investment in AI is moving too fast. Alibaba co-founder Joe Tsai, Bridgewater Associates’ Ray Dalio and Apollo Global Management chief economist Torsten Slok have all raised similar warnings.
Last month, Slok stated in a report that he believed the AI bubble of today was, in fact, bigger than the internet bubble, with the top 10 companies in the S&P 500 more overvalued than they were in the 1990s.
In an email to CNBC on Monday, Ray Wang, CEO of Silicon Valley-based Constellation Research, told CNBC that he thought Altman’s comments carry some validity, but that the risks are company-dependent.
“From the perspective of broader investment in AI and semiconductors… I don’t see it as a bubble. The fundamentals across the supply chain remain strong, and the long-term trajectory of the AI trend supports continued investment,” he said.
However, he added that there is an increasing amount of speculative capital chasing companies with weaker fundamentals and only perceived potential, which could create pockets of overvaluation.
Many Fears of an AI bubble had hit a fever pitch at the start of this year when Chinese start-up DeepSeek released a competitive reasoning model. The company claimed one version of its advanced large language models had been trained for under $6 million, a fraction of the billions being spent by U.S. AI market leaders like OpenAI, though these claims were also been met with some skepticism.
Earlier this month, Altman told CNBC that OpenAI’s annual recurring revenue is on track to pass $20 billion this year, but that despite that, it remains unprofitable.
The release of OpenAI’s latest GPT-5 AI model earlier this month had also been rocky, with some critics complaining that it had a less intuitive feel. This resulted in the company restoring access to legacy GPT-4 models for paying customers.
Following the release of the model, Altman has also signaled more caution about some of the AI industry’s more bullish predictions.
Speaking to CNBC, he said that he thought the term artificial general intelligence, or “AGI,” is losing relevance, when asked whether the GPT-5 model moves the world any closer to achieving AGI.
AGI refers to the concept of a form of artificial intelligence that can perform any intellectual task that a human can — something that OpenAI has been working towards for years and that Altman previously said could be achieved in the “reasonably close-ish future.“
Regardless, faith in OpenAI from investors has remained strong this year. CNBC confirmed Friday that the company was preparing to sell around $6 billion in stock as part of a secondary sale that would value it at roughly $500 billion.
In March, it had announced a $40 billion funding round at a $300 billion valuation, by far the largest amount ever raised by a private tech company.
In The Verge article on Friday, the OpenAI CEO also discussed OpenAI’s expansion into consumer hardware, brain-computer interfaces and social media.
Altman also said that he expects OpenAI to spend trillions of dollars on its data center buildout in the “not very distant future,” and signaled that the company would be interested in buying Chrome if the U.S. government were to force Google to sell it.
Asked if he would be CEO of OpenAI in a few years, he was quoted as saying, “I mean, maybe an AI is in three years. That’s a long time.”
Nvidia CEO Jensen Huang, right, speaks alongside President Donald Trump about investing in America, at the White House in Washington, on April 30, 2025.
The letter — signed by Senators Chuck Schumer, D-N.Y.; Mark Warner, D-Va.; Jack Reed, D-R.I.; Jeanne Shaheen, D-N.H.; Christopher Coons, D-Del.; and Elizabeth Warren, D-Mass. — was in response to an Aug. 11 announcement by Trump that Nvidia and AMD would pay the U.S. government a 15% cut of revenue from chip sales to China in exchange for export licenses.
“Our national security and military readiness relies upon American innovators inventing and producing the best technology in the world, and in maintaining that qualitative advantage in sensitive domains. The United States has historically been successful in maintaining and building that advantage because of, in part, our ability to deny adversaries access to those technologies,” the letter states.
“The willingness displayed in this arrangement to ‘negotiate’ away America’s competitive edge that is key to our national security in exchange for what is, in effect, a commission on a sale of AI-enabling technology to our main global competitor, is cause for serious alarm,” the letter continues.
Senators also warned that selling advanced AI chips — specifically Nvidia’s H20 and AMD’s MI308 chips — to China could help strengthen its military systems, a claim that Nvidia denies.
In a statement to CNBC, a Nvidia spokesperson said: “The H20 would not enhance anyone’s military capabilities, but would have helped America attract the support of developers worldwide and win the AI race. Banning the H20 cost American taxpayers billions of dollars, without any benefit.”
The letter from Senate Democrats also requests a detailed response from the administration by Friday, Aug. 22, regarding the current deal involving Nvidia and AMD, as well as any similar arrangements being made with other companies.
“We again urge your administration to quickly reverse course and abandon this reckless plan to trade away U.S. technology leadership,” the letter states.
A request for comment from the White House and AMD was not immediately returned.
Despite Trump allowing chip sales to resume, it has already become clear that China isn’t welcoming Nvidia back with open arms, instead urging tech companies to avoid buying U.S. companies’ chips, according to a Bloomberg report.
“We’re hearing that this is a hard mandate, and that [authorities are actually] stopping additional orders of H20s for some companies,” Qingyuan Lin, a senior analyst covering China semiconductors at Bernstein, told CNBC.
In a separate report, The Information said regulators in China have ordered major tech companies, including ByteDance, Alibaba, and Tencent, to suspend Nvidia chip purchases until a national security review is complete.
— CNBC’s Kristina Partsinevelos contributed to this report