Check out the companies making headlines in midday trading: Kohl’s — Shares tumbled 18% after the retailer cut its sales outlook amid an uncertain holiday backdrop . The latest quarter’s earnings and sales fell short of Wall Street analysts’ estimates, and the CEO will step down in January. Amgen — The biotech fell more than 3% after an experimental weight loss drug helped patients lose up to 20% of their weight after a year, the low end of investor expectations. Some analysts had been hoping for weight loss up to 25% in the phase two trial. Morgan Stanley — The Wall Street investment bank pulled back more than 2% after HSBC downgraded it to hold from buy, citing a less attractive risk-to-reward balance. Best Buy — The electronics retail chain slumped 7% after slashing its full-year sales forecast . Best Buy now expects comparable, same-store sales to pull back by 2.5% to 3.5%, worse than a prior forecast. Franklin Resources — The money manager sank more than 3% after federal prosecutors charged the former co-chief investment officer of its Western Asset Management subsidiary with fraud. Dana Inc. — Shares added 9% after the auto parts supplier named a new CEO and announced a restructuring, including the sale of its highway business and a $200 million cost-cutting campaign. Abercrombie & Fitch — Shares tumbled about 5% after the apparel retailer’s third-quarter earnings topped forecasts but failed to surpass Wall Street’s highest estimate. Abercrombie earned $2.50 per share, above the $2.39 per share consensus among analysts surveyed by LSEG. Revenue of $1.21 billion was higher than the $1.19 billion expected, and guidance for holiday sales and full-year results was stronger. Royal Caribbean — The cruise line advanced 2% after Bernstein initiated research coverage with an outperform rating. Stellantis — The Chrysler and Jeep owner dropped more than 5% after President-elect Donald Trump said he planned to impose 25% tariffs on imports from Mexico and Canada. Stellantis had already been considering revising its plan to expand further in Mexico in response to the potential tariffs. General Motors and Ford slipped more than 8% and 2%, respectively. Rivian Automotive — The electric vehicle maker added 2% after receiving conditional approval for a government loan of more than $6 billion, with the funds intended to support production capacity. Fluence Energy — Shares of the battery storage company fell more than 16% after third-quarter revenue of $1.23 billion missed a forecast of $1.28 billion from analysts surveyed by FactSet. Zoom Communications — The online meeting tech provider fell 8% despite stronger-than-expected third-quarter results, after soaring 60% from its recent low in August. Zoom earned an adjusted $1.38 per share on $1.18 billion in revenue, against Street estimates of $1.31 in earnings per share and $1.16 billion in revenue. Novo Nordisk , Eli Lilly — The maker of diabetes and weight loss drugs rose between 2% and 5%. The Biden administration introduced a new rule allowing Medicare and Medicaid to the cost of weight loss treatments for Americans suffering from obesity . — CNBC’s Hakyung Kim, Pia Singh, Samantha Subin and Jesse Pound contributed reporting.
Chinese smartphone company Xiaomi in the last week reported record net profit for a second-straight quarter, bolstering several analysts’ conviction on the Hong Kong-listed stock. In absolute dollar terms, Xiaomi’s earnings are still a fraction of Apple’s . But the Chinese company has a larger smartphone market share in China , and has built an electric vehicle business, while the iPhone maker dropped its car plans . Apple in recent months has also come under pressure from the Trump administration over its overseas supply chain. Apple shares are down 20% year-to-date to around $200. Xiaomi’s have gained more than 45% to 50.95 Hong Kong dollars ($6.50) a share. Following Xiaomi’s earnings report on May 27, Jefferies analysts raised their price target to 73 HKD, up from 69.50 HKD previously — for upside of 43% from Friday’s close. The analysts attributed the company’s earnings beat to outperformance in “AIoT.” The category refers to Xiaomi’s appliances, which incorporate artificial intelligence functions and can be controlled remotely over the internet using an app. Xiaomi’s adjusted net income for the first quarter was 10.68 billion yuan ($1.48 billion), beating the expected 9.48 billion yuan, according to a FactSet analyst poll. Revenue of 111.29 billion yuan also came in above the 108.49 billion yuan predicted by the poll. In smartphones, Xiaomi has become more conservative about the global outlook, but the Jefferies analysts pointed out the company will likely continue to gain market share in the high-end China market with its new Xring O1 chip. Xiaomi officially revealed the chip on May 22 and said it would power its new 15S Pro smartphone, which sells for far less than Apple’s iPhone 16 Pro in China. CEO Lei Jun claimed at the event that Xiaomi’s Xring O1 Apple’s A18 Pro on several metrics, including the ability to operate a game with less heat. Smartphones account for just under 40% of Xiaomi’s revenue. Appliances and other products make up nearly 22%. “We believe appliances represent major upside in the next two years, but [Xiaomi’s electric SUV] YU7 sales will be [the] key [short-term] catalyst,” the Jefferies analysts said. Xiaomi revealed its YU7 SUV at the same May 22 event. While the company didn’t announce a price, it said an official launch would be held in July and that the new car would come with a longer driving range than rival Tesla’s Model Y. “We believe the launch of YU7, scheduled for July 2025, will likely be the most important catalyst for Xiaomi this year,” Morgan Stanley analysts said in a May 27 report. They expect the SUV can garner a higher price point than Xiaomi’s SU7 electric sedan that hit the market last year. “If sales volume is strong, it could help Xiaomi achieve higher ASPs, better margins, and ongoing earnings growth,” the Morgan Stanley analysts said. They rate Xiaomi overweight and have a price target of 62 HKD. In addition to the YU7 release this summer, several analysts said they are looking forward to Xiaomi’s investor day, scheduled for June 3. Those are both potential positive catalysts, Macquarie said. “We believe Xiaomi is a beneficiary of rising EV demand, changing consumer behavior, and industry consolidation in China.” “The company is widening its core business product offerings, expanding overseas and controlling [operating expenses] to drive profitability,” the report said. Macquarie rates the stock outperform, with a price target of 69.32 HKD. JPMorgan analysts kept their neutral rating, however, as they said Xiaomi’s ecosystem-related revenue growth was the slowest among major categories — not supportive of a high valuation in their view. They cautioned that while Apple was able to gain value once services started driving growth instead of hardware, Xiaomi has seen accelerating hardware growth while services has grown more slowly. Their price target is 60 HKD, still about 18% above where the stock closed Friday. — CNBC’s Michael Bloom contributed to this report.
Sarah Kapnick started her career in 2004 as an investment banking analyst for Goldman Sachs. She was struck almost immediately by the overlap of financial growth and climate change, and the lack of client advisory around that theme.
Integrating the two, she thought, would help investors understand both the risks and opportunities, and would help them use climate information in finance and business operations. With a degree in theoretical mathematics and geophysical fluid dynamics, Kapnick saw herself as uniquely positioned to take on that challenge.
But first, she had to get deeper into the science.
That led her to more study and then to the National Oceanic and Atmospheric Administration (NOAA), the nation’s scientific and regulatory agency within the U.S. Department of Commerce. Its defined mission is to understand and predict changes in climate, weather, oceans and coasts and to share that knowledge and information with others.
In 2022, Kapnick was appointed NOAA’s chief scientist. Two years later, JPMorgan Chase hired her away, but not as chief sustainability officer, a role common at most large investment banks around the world and a position already filled at JPMorgan.
Rather, Kapnick is JPMorgan’s global head of climate advisory, a unique job she envisioned back in 2004.
Just days before the official start of the North American hurricane season, CNBC spoke with Kapnick from her office at JPMorgan in New York about her current role at the bank and how she’s advising and warning clients.
Here’s the Q&A:
(This interview has been lightly edited for length and clarity.)
Diana Olick, CNBC: Why does JPMorgan need you?
Sarah Kapnick, JPMorgan global head of climate advisory: JPMorgan and banks need climate expertise because there is client demand for understanding climate change, understanding how it affects businesses, and understanding how to plan. Clients want to understand how to create frameworks for thinking about climate change, how to think about it strategically, how to think about it in terms of their operations, how to think about it in terms of their diversification and their long-term business plans.
Everybody’s got a chief sustainability officer. You are not that. What is the difference?
The difference is, I come with a deep background in climate science, but also how that climate science translates into business, into the economy. Working at NOAA for most of my career, NOAA is a science agency, but it’s science agency under the Department of Commerce. And so my job was to understand the future due to physics, but then be able to translate into what does that mean for the economy? What does that mean for economic development? What does that mean for economic output, and how do you use that science to be able to support the future of commerce? So I have this deep thinking that combines all that science, all of that commerce thinking, that economy, how it translates into national security. And so it wraps up all these different issues that people are facing right now and the systematic issues, so that they can understand, how do you navigate through that complexity, and then how do you move forward with all that information at hand?
Give us an example, on a ground level, of what some of that expertise does for investors.
There’s a client that’s concerned about the future of wildfire risk, and so they’re asking, How is wildfire risk unfolding? Why is it not in building codes? How might building codes change in the future? What happens for that? What type of modeling is used for that, what type of observations are used for that? So I can explain to them the whole flow of where is the data? How is the data used in decisions, where do regulations come from. How are they evolving? How might they evolve in the future? So we can look through the various uncertainties of different scenarios of what the world looks like, to make decisions about what to do right now, to be able to prepare for that, or to be able to shift in that preparation over time as uncertainty comes down and more information is known
So are they making investment decisions based on your information?
Yes, they’re making investment decisions. And they’re making decisions of when to invest because sometimes they have a knowledge of something as it’s starting to evolve. They want to act either early or they want to act as more information is known, but they want to know kind of the whole sphere of what the possibilities are and when information will be known or could be known, and what are the conditions that they will know more information, so they can figure out when they want to act, when that threshold of information is that they need to act.
How does that then inform their judgment on their investment, specifically on wildfire?
Because wildfire risk is growing, there’ve been a few events like the Los Angeles wildfires that were recently seen. The questions that I’m getting are could this happen in my location? When will it happen? Will I have advanced notice? How should I change and invest in my infrastructure? How should I think about differences in my infrastructure, my infrastructure construction? Should I be thinking about insurance, different types of insurance? How should I be accessing the capital markets to do this type of work? It’s questions across a range of trying to figure out how to reduce vulnerability, how to reduce financial exposure, but then also, if there are going to be risks in this one location, maybe there are more opportunities in these other locations that are safer, and I should be thinking of them as well. It’s holistically across risk management and thinking through risk and what to do about it, but then also thinking about what opportunities might be emerging as a result of this change in physical conditions in the world.
But you’re not an economist. Do you work with others at JPMorgan to augment that?
Yes, my work is very collaborative. I work across various teams with subject matter experts from different sectors, different industries, different parts of capital, and so I come with my expertise of science and technology and policy and security, and then work with them in whatever sphere that they’re in to be able to deliver the most to the bank that we can for our clients.
With the cuts by the Trump administration to NOAA, to FEMA, to all of the information gathering sources — we’re not seeing some of the things that we normally see in data. How is that affecting your work?
I am looking to what is available for what we need, for whatever issue. I will say that if data is no longer available, we will translate and move into other data sets, use other data sets, and I’m starting to see the development out in certain parts of the private sector to pull in those types of data that used to be available elsewhere. I think that we’re going to see this adjustment period where people search out whatever data it is they need to answer the questions that they have. And there will be opportunities. There’s a ton of startups that are starting to develop in that area, as well as more substantial companies that have some of those data sets. They’re starting to make them available, but there’s going to be this adjustment period as people figure out where they’re going to get the information that they need, because many market decisions or financial decisions are based on certain data sets that people thought would always be there.
But the government data was considered the top, irrefutable, best data there was. Now, how do we know, when going to the private sector, that this data is going to be as credible as government data?
There’s going to be an adjustment period as people figure out what data sets to trust and what not to trust, and what they want to be using. This is a point in time where there is going to be adjustment because something that everyone got used to working with, they now won’t have that. And that is a question that I’m getting from a lot of clients, of what data set should I be looking for? How should I be assessing this problem? Do I build in-house teams now to be able to assess this information that I didn’t have before? And I’m starting to see that occurring across different sectors, where people are increasingly having their own meteorologist, their own climatologist, to be able to help guide them through some of these decisions.
Final thoughts?
Climate change isn’t something that is going to happen in the future and impact finance in the future. It’s something that is a future risk that is now actually finding us in the bottom line today.
Daniel Loeb has found himself a new goal as his hedge fund Third Point entered its milestone 30th year: To be a true winner in the red-hot artificial intelligence boom and not run over by it. “Change is happening at an ever accelerating and increasing rate and it’s just going to require us to continue to be even more nimble, and to use AI as your own tool to stay on top of what’s going on,” Loeb told CNBC’s Scott Wapner at Third Point’s investor day Thursday. “You’ll either be a beneficiary of AI or AI roadkill. So I think we all need to do our best to not be the latter.” AI has dominated Wall Street’s investing theme over the past two years as investors left and right seek to hit home runs in the space, from chipmakers to hardware producers to car companies and utilities. Loeb, once known for his sharp brand of activism, has emerged as a big AI bull in recent years, increasing his fund’s AI exposure to nearly half of its equity portfolio in 2024. Ways Loeb is playing AI The hedge-fund investor not only owns “legacy” companies like Meta , Nvidia , Microsoft and Amazon — which he said have built enormous competitive advantages — but he is also betting on AI beneficiary London Stock Exchange Group and chipmaker Taiwan Semiconductor Manufacturing . “It’s a pervasive component of our research process… It’s a variable in which we benchmark all of the companies that we invest in, both in terms of how they’re using it… whether it’s cloud companies or Amazons or Microsofts and how they’re directly benefiting from it,” Loeb said. Three decades ago, Loeb started Third Point with $3.2 million cobbled together from friends and family. Today, the hedge fund touts over $20 billion assets under management and net returns of 15% since inception, weathering the dotcom crash, the 2008 financial crisis and the Covid pandemic. Known for being one of the best activist investors ever, he’s grown the firm to include a significant credit and venture business. On today’s market environment, Loeb believes the short-term uncertainty will start to fade by next year and investors picking quality, growth stocks with fair prices will be rewarded in the long run. “I think it will be ok.. I think we’ll start looking towards a better, more predictable 2026,” Loeb said. “I think there will definitely be winners and losers. The economy will grow at about a one-percent rate unless something comes out of left field, so I think it’s a good environment for investing in growthy companies at good valuations.” He also revealed that Third Point got back into US Steel a month or so ago in the $30s range in a bet that its path to a deal with Nippon Steel would materialize. CNBC reported this week that Nippon is expected to close acquisition of U.S. Steel at $55 per share.