PELOTON BACKPEDALS IN RIGHT DIRECTION
Fitness company says it will outsource its manufacturing as it steers toward more sustainable growth.
Fitness company says it will outsource its manufacturing as it steers toward more sustainable growth.
Peloton Interactive built its business to delight its customers. Now it must do the same for its shareholders.
Peloton said Tuesday that it will stop producing its own hardware, exiting all owned manufacturing operations and expanding its relationship with its Taiwanese manufacturer, Rexon Industrial Corp. The move comes as Peloton’s new Chief Executive Barry McCarthy works to right the company’s financials, unwinding big, and in hindsight naive, bets co-founder John Foley made during his tenure.
Peloton’s shares, which have lost 92% of their value over the past year, jumped by almost 5% after the market’s open. A shift to outsourced manufacturing came as a relief. The about-face highlights what Mr. Foley got spectacularly wrong: Peloton acquired Taiwan-based manufacturer Tonic Fitness Technology back in 2019—a move Mr. Foley said was meant to help Peloton own the supply chain in an effort to increase scale and capacity, as well as to “delight” its members.
But, as online retailer Stitch Fix, another business currently undergoing major restructuring and suffering a similar stock price implosion also is learning, it is very hard to own every piece of your customers’ experience and grow exponentially without losing your investors. The numbers simply don’t add up.
Customers probably won’t care where their exercise bike is made, and in fact Rexon and other contract manufacturers had already been building some of Peloton’s components and equipment. Apple, a company with a reputation for design and a loyal customer base, outsources its manufacturing, largely to China. That wasn’t always the case, but outsourcing went a long way toward making the company highly profitable, courtesy of current Chief Executive Tim Cook. In Peloton’s case, it is worth noting that Rexon builds the company’s Tread treadmill and built its recalled Tread+, the sales of which are still on hold. As long as there are no more recalls, Peloton users are there for the company’s content, with the pretty hardware just a means to the end.
Mr. Foley wanted Wall Street to see Peloton as a growth company, and that is how it was valued at its peak. Ultimately, though, there are only going to be so many people interested in sweating profusely on an expensive stationary bike alongside kindred endorphin seekers the world over. As BMO analyst Simeon Siegel put it, Peloton is a company with a phenomenal stable of existing users and right now, it should be focused on “bear hugging” those loyalists.
Data from UBS show that adoption levels of Peloton’s cheaper app, which the company views as a key customer acquisition tool toward its more expensive subscription, continued to decline in May and early June. It also showed active users declining since January. YipitData shows subscriber retention for fiscal 2022 has slightly underperformed historical averages and that churn increased in June year over year. More broadly, Similarweb data shows “home fitness” web traffic declining 24% year over year for the most recently tracked two-week period in late June—the largest annual declines logged by the firm this year.
Wall Street will have to wait for Peloton’s fiscal fourth-quarter report for more granular details on how exactly Tuesday’s announcement will impact the company’s cost structure. A Peloton spokesperson confirmed the company would cut about 570 employees in Taiwan, but that 100 employees would remain in that business unit focused on quality control, engineering and research and development. And Peloton will get a new chief financial officer in Liz Coddington—previously of Amazon.com and Netflix—after the company said Jill Woodworth, who had served in that role since 2018, will step down.
The company we once knew as aspirational is quickly becoming a commodity. It will try to prove to its investors that it can at least be a hot one.
Reprinted by permission of The Wall Street Journal, Copyright 2021 Dow Jones & Company. Inc. All Rights Reserved Worldwide. Original date of publication: July 12, 2022.
The Australian leather house has opened an immersive four-day pop-up in Manhattan, unveiling its Bloom Collection and redefining what a product launch can look like.
Following the successful launch of its Palais Collection, MAISON de SABRÉ has unveiled a new modular handbag system offering more than 720 styling combinations.
Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.