Why Prices of the World’s Most Expensive Handbags Keep Rising
Designers are charging more for their most recognisable bags to maintain the appearance of exclusivity as the industry balloons
Designers are charging more for their most recognisable bags to maintain the appearance of exclusivity as the industry balloons
The price of a basic Hermès Birkin handbag has jumped $1,000. This first-world problem for fashionistas is a sign that luxury brands are playing harder to get with their most sought-after products.
Hermès recently raised the cost of a basic Birkin 25-centimetre handbag in its U.S. stores by 10% to $11,400 before sales tax, according to data from luxury handbag forum PurseBop. Rarer Birkins made with exotic skins such as crocodile have jumped more than 20%. The Paris brand says it only increases prices to offset higher manufacturing costs, but this year’s increase is its largest in at least a decade.
The brand may feel under pressure to defend its reputation as the maker of the world’s most expensive handbags. The “Birkin premium”—the price difference between the Hermès bag and its closest competitor , the Chanel Classic Flap in medium—shrank from 70% in 2019 to 2% last year, according to PurseBop founder Monika Arora. Privately owned Chanel has jacked up the price of its most popular handbag by 75% since before the pandemic.


Eye-watering price increases on luxury brands’ benchmark products are a wider trend. Prada ’s Galleria bag will set shoppers back a cool $4,600—85% more than in 2019, according to the Wayback Machine internet archive. Christian Dior ’s Lady Dior bag and the Louis Vuitton Neverfull are both 45% more expensive, PurseBop data show.
With the U.S. consumer-price index up a fifth since 2019, luxury brands do need to offset higher wage and materials costs. But the inflation-beating increases are also a way to manage the challenge presented by their own success: how to maintain an aura of exclusivity at the same time as strong sales.
Luxury brands have grown enormously in recent years, helped by the Covid-19 lockdowns, when consumers had fewer outlets for spending. LVMH ’s fashion and leather goods division alone has almost doubled in size since 2019, with €42.2 billion in sales last year, equivalent to $45.8 billion at current exchange rates. Gucci, Chanel and Hermès all make more than $10 billion in sales a year. One way to avoid overexposure is to sell fewer items at much higher prices.
Many aspirational shoppers can no longer afford the handbags, but luxury brands can’t risk alienating them altogether. This may explain why labels such as Hermès and Prada have launched makeup lines and Gucci’s owner Kering is pushing deeper into eyewear. These cheaper categories can be a kind of consolation prize. They can also be sold in the tens of millions without saturating the market.

“Cosmetics are invisible—unless you catch someone applying lipstick and see the logo, you can’t tell the brand,” says Luca Solca, luxury analyst at Bernstein.
Most of the luxury industry’s growth in 2024 will come from price increases. Sales are expected to rise by 7% this year, according to Bernstein estimates, even as brands only sell 1% to 2% more stuff.
Limiting volume growth this way only works if a brand is so popular that shoppers won’t balk at climbing prices and defect to another label. Some companies may have pushed prices beyond what consumers think they are worth. Sales of Prada’s handbags rose a meagre 1% in its last quarter and the group’s cheaper sister label Miu Miu is growing faster.
Ramping up prices can invite unflattering comparisons. At more than $2,000, Burberry ’s small Lola bag is around 40% more expensive today than it was a few years ago. Luxury shoppers may decide that tried and tested styles such as Louis Vuitton’s Neverfull bag, which is now a little cheaper than the Burberry bag, are a better buy—especially as Louis Vuitton bags hold their value better in the resale market.
Aggressive price increases can also drive shoppers to secondhand websites. If a barely used Prada Galleria bag in excellent condition can be picked up for $1,500 on luxury resale website The Real Real, it is less appealing to pay three times that amount for the bag brand new.
The strategy won’t help everyone, but for the best luxury brands, stretching the price spectrum can keep the risks of growth in check.
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.