Christian Dior’s $57 Handbags Have a Hidden Cost: Reputational Risk

Christian Dior struck gold when it found a supplier willing to assemble a €2,600 handbag, equivalent to around $2,816, for just €53 a piece—or did it? Cleaning up the reputational damage may not come cheap.

A Milan court named LVMH -owned Dior and Giorgio Armani as two brands whose products were made in sweatshop-like conditions in Italy. Images of an unkempt facility where designer handbags were produced, which was raided as part of an investigation into Italy’s fashion supply chain, are worlds apart from those the luxury industry likes to show its customers.

To keep up with the strong demand for their goods, some high-end brands rely on independent workshops to supplement their in-house factories. Sales at LVMH’s leather goods division have almost doubled since 2019.

While more outsourced manufacturing is understandable in a boom, brands may also have taken cost-saving measures too far in a push to juice profits. Some of Dior’s production was contracted out directly to a Chinese-run factory in Italy, where workers assembled the bags in unsafe conditions, according to a translated court order. In other instances, Dior’s suppliers subcontracted work out to low-cost factories that also used irregular labour.

Nipping the problem in the bud would require hundreds of millions of dollars worth of investment in new facilities to bring more manufacturing in-house. The alternative is for Dior to pay its suppliers more and keep them on a tighter leash. Either way, the result seems likely to be lower profits than shareholders have grown accustomed to.

Top luxury brands such as Christian Dior can have very high margins because consumers are willing to pay steep prices for goods they see as status symbols. They also can spread high fixed costs, such as expensive advertising campaigns over a large volume of sales.

For the LVMH group overall, the cost of making the products it sells—everything from Champagne to watches to cosmetics—amounted to 31% of sales in 2023. But the margins on big-brand handbags are probably at the high end of the spectrum.

Bernstein analyst Luca Solca estimates that a €10 billion luxury fashion label, roughly Dior’s size, may spend just 23% of its sales on the raw materials and labour that go into its products. This implies a €2,600 Dior purse would cost €598 to make, equivalent to $US647 for a roughly $US2,800 product at current exchange rates.

In reality, the cost may be even lower, based on the results of the Italian investigation. The €53-a-piece assembly price it cited, equivalent to around $US57, didn’t include the cost of the leather and hardware, but that would add only another €150 or so, according to one Italian supplier.

Advertising fees are a further €156 per handbag, according to Bernstein’s analysis, and depreciation of the company’s assets is €156. Running the brand’s stores—including paying the rent on some of the most exclusive shopping streets in the world—and head-office costs come to an additional €390. This leaves €1,300 of pure operating profit for Dior, or a 50% margin.

“This is the reality of the business,” says Solca. “The retail price for the goods of major luxury brands is typically between eight and 12 times the cost of making the product.”

LVMH hasn’t commented on the investigation, which first made headlines nearly a month ago. Meanwhile, a public-relations storm is brewing. Luxury influencers on social media are asking what exactly people are paying for when they shell out for a fancy purse. Recent price increases also make the cheap manufacturing costs hard to stomach. A mini Lady Dior bag that cost $3,500 in 2019 will set shoppers back $5,500 today, a 57% increase.

A dozen other luxury labels that remain unnamed are under investigation for similar issues in their Italian supply chains, so this may be a much wider problem.

Profits will take a hit if the industry decides to clean up its act. But the cost of doing nothing might be higher. Luxury brands that charge customers thousands of dollars and rely on a reputation for quality can’t afford to be cheap.

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.

Christian Dior’s $57 Handbags Have a Hidden Cost: Reputational Risk

An Italian investigation is shining a harsh light on the supply chain of luxury brands

Nvidia’s earnings will test Wall Street’s confidence in the AI boom.