‘Thrifting’ Extends to Holiday Shopping Too
Roughly 17% of gifts this holiday season will be a resold item, according to Salesforce data
Roughly 17% of gifts this holiday season will be a resold item, according to Salesforce data
A new kind of present is gaining acceptance this holiday season. More consumers are picking secondhand items to gift each other, finding it to be an environmentally and budget-friendly option.
Thrift stores that sell used clothes and goods are springing up online and on street corners. Goodwill Industries International, the nonprofit behind the familiar chain of thrift stores, is ramping up its online efforts. Fashion brands are developing their own resale offering to keep up with clothing-reseller sites such as Depop and Poshmark. Roughly 17% of gifts this holiday season will be a resold item, according to software firm Salesforce.
“Consumers are choosing resale first because of the incredible value, the unique merchandise, and the incredible sustainability benefit,” said Matt Kaness, chief executive of GoodwillFinds, the nonprofit’s online e-commerce platform run in partnership with Salesforce.

Secondhand clothes, once seen as frumpy and embarrassing, are now keenly sought out by the fashion conscious. A popular vintage aesthetic dovetails with consumer calls for goods that do less harm to the world. About 85% of American shoppers have bought or sold preowned items over the past year, nearly a third for the first time, according to online marketplace OfferUp’s Recommerce report. In apparel alone, some 10% of the global market will be secondhand by next year.
GoodwillFinds is the only major nonprofit player in resale.
GoodwillFinds’ online platform allows a smarter operation than the traditional bricks-and-mortar store, said Kaness, formerly an executive with retailers including Walmart and Urban Outfitters. The platform uses artificial intelligence and large data sets to more accurately price and categorise items, creating a much more efficient system, Kaness said.
“In a store, it’s a human looking at the item. They have paper sticker tickets for the price and they have to process such a volume that it is somewhat random,” he said. In contrast, the company’s online system uses computer vision to take a picture, identify the item, create a listing and price it.
Moving online is the logical choice for secondhand sellers, said 25-year-old Brooke Bowlin, who runs lifestyle blog Nuance Required. “Secondhand stores just can’t sell enough,” said Bowlin, who started her own thrift store in Siloam Springs, Ark. “By moving online and expanding the audience, there is an opportunity to re-home more clothes,” she said.
Major fashion brands are also increasingly recognising that secondhand is as much a necessity as it is an opportunity. The fashion industry is responsible for up to 8% of global emissions, relying on resource-intensive raw materials and fast-moving trends that have contributed large amounts of waste. Around 11.3 million tons of textile waste go to landfills in the U.S. every year, according to environmental organisation Earth.Org.
Outdoor-clothing retailer Patagonia established its Worn Wear platform in 2017, one of the first resale channels by a major brand.
As much as adapting to trends, Patagonia Worn Wear aims to change consumer behavior, said Asha Agrawal, managing director of the Patagonia venture fund that runs the platform.
“A lot of our messaging is around—‘you don’t need to buy something new,’” she said.
Worn Wear buys back used brand gear from consumers by paying higher prices than peer-to-peer apps or other marketplaces, Agrawal said. This strategy contributes to the bulk of the platform’s costs but also boosted its inventory fourfold this year alone, she said, adding Worn Wear has been profitable for the last two years.

Worn Wear is now integrated into the Patagonia brand. “You can now do your main shopping with Patagonia with our resale business in the U.S.,” she said. “That’s a huge evolution for us.”
Resale by brands and third parties is expected to outpace traditional thrift sales and donations in the U.S., rising to 60% of a $70 billion total by 2027 from 15% of the $20 billion secondhand market in 2017, according to online thrift store ThredUp’s recent resale report.
Other fashion players have their versions. Sweden’s Hennes & Mauritz launched H&M Pre-Loved in the U.S. this year, in partnership with ThredUp. Inditex-owned Zara has launched a preowned platform that offers repair services, customer-to-customer sales and donations of used garments in the U.K. and France, with plans for a U.S. rollout by 2025.
Resale remains an imperative for fashion brands as a way to control distribution and retain the trust of shoppers increasingly alert to the fate of their old clothes. However, scaling up resale generates a raft of operational challenges such as authentication, returns and ensuring that secondhand doesn’t look like an afterthought, said Anita Balchandani, fashion lead at consultant firm McKinsey & Co.
Unlike nonprofits, such as Goodwill, that get their inventory from donations and don’t have to be accountable to shareholders, retailers are struggling to make business sense of resales, Balchandani said.
“No one has proven the path to scaling this up profitably,” she said. “You almost have to create a whole new end-to-end supply chain…. The retailer who cracks that journey is going to make a real difference in this space.”
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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.