As some high-valued tech startups look to the long-dormant IPO market for their next funding round, Databricks is still finding investors that are happy to keep the company private, at least for now.
Databricks, which sells data analytics software, said Thursday that it raised more than $500 million in fresh capital at a $43 billion valuation.
Founded in 2013 and based in San Francisco, Databricks last announced funding during the boom market of 2021, at a $38 billion valuation. Since then, cloud software stocks have plummeted, with rival Snowflake losing 45% of its value. However, unlike fellow software IPO candidates Canva and Stripe, Databricks has managed to maintain its share price.
In the latest round, shares were sold at $73.50 a piece, roughly equal to where they were priced in 2021. The $5 billion increase in valuation is the result of new shares that CEO Ali Ghodsi said have gone to the 3,500 employees the company has hired in the past two years, as well as to investors. Headcount now sits at around 6,000.
While high interest rates and economic concerns continue to weigh on the tech market, particularly on companies that are burning cash, Databricks is capitalizing on a surge of momentum in artificial intelligence. In July, Databricks acquired MosaicML, a startup with software for efficiently running large language models that can spit out natural-sounding text, for $1.3 billion.
Nvidia is a new investor in Databricks, a notable addition as the chipmaker has been pouring cash into a host of AI infrastructure startups. Hugging Face, Cohere and CoreWeave are a few of the companies that Nvidia has backed at multibillion-dollar valuations.
Ghodsi said that he started talking to Nvidia CEO Jensen Huang “a while back,” and that a strategic tie-up has become more important with both companies going deeper into AI. Databricks spends a lot of money on Nvidia’s graphics processing units, largely through various public clouds, and even more now that his company owns Mosaic. He added that Nvidia and Mosaic had been in talks about a partnership before the acquisition.
“It made sense to partner more closely,” Ghodsi said. “At the core, we’re in complementary markets.”
Equally notable is the participation of Capital One’s venture arm as an investor for the first time. That’s because the bank is Snowflake’s largest customer. Snowflake finance chief Mike Scarpelli said at an investor event in August 2022 that Capital One was spending almost $50 million annually with Snowflake, and in November he said that the firm is its top customer and that it’s “taken them 5.3 years to get where we are now.”
Capital One is also a Databricks customer and uses the technology partly for fraud detection, according to a 2021 blog post.
Existing investor T. Rowe Price led Databricks’ latest round, and was joined by Andreessen Horowitz, Baillie Gifford, Fidelity, Morgan Stanley’s Counterpoint Global and Tiger Global, among others.
Ghodsi said that when the company started talking to investors about a potential financing round a couple of months ago, his “original guidance was no more than $100 million.” That number ultimately swelled fivefold as more investors wanted to join, he said.
As for a potential initial public offering, Ghodsi said that’s still on the road map, and that this funding doesn’t change the company’s plans. He didn’t say when an IPO might happen.
Databricks will get to see how much demand there is for new tech opportunities in the coming weeks. Chip designer Arm is returning to the public market on Thursday after getting taken private in 2016. Grocery delivery company Instacart and software vendor Klaviyo filed their prospectuses last month. There hasn’t been a notable venture-backed tech IPO in the U.S. since late 2021.
Many enterprise software makers have been trying to limit spending while growth rates slow because the uncertain economy has led big customers to reduce their purchasing. Databricks has stayed in growth mode and hasn’t announced any layoffs.
Ghodsi said much of the cost cutting he’s pursued was in his company’s use of technology, particularly software subscriptions.
“We spent $30 million on 300 pieces of SaaS software,” Ghodsi said, referring to software as a service. “I said, ‘Let’s halve that.'”
In the quarter that ended in July, Databricks said it reached a $1.5 billion annual revenue run rate, with sales growing 50% year over year. Snowflake, whose shares debuted on the New York Stock Exchange in 2020, reported 36% growth in the latest quarter to $674 million in revenue.
Industrial and infrastructure stocks may soon share the spotlight with the artificial intelligence trade.
According to ETF Action’s Mike Atkins, there’s a bullish setup taking shape due to both policy and consumer trends. His prediction comes during a volatile month for Big Tech and AI stocks.
“You’re seeing kind of the old-school infrastructure, industrial products that have not done as well over the years,” the firm’s founding partner told CNBC’s “ETF Edge” this week. “But there’s a big drive… kind of away from globalization into this reshoring concept, and I think that has legs.”
Global X CEO Ryan O’Connor is also optimistic because the groups support the AI boom. His firm runs the Global X U.S. Infrastructure Development ETF (PAVE), which tracks companies involved in construction and industrial projects.
“Infrastructure is something that’s near and dear to our heart based off of PAVE, which is our largest ETF in the market,” said O’Connor in the same interview. “We think some of these reshoring efforts that you can get through some of these infrastructure places are an interesting one.”
Both ETFs are lower so far this month — but Global X’s infrastructure ETF is performing better. Its top holdings, according to the firm’s website, are Howmet Aerospace, Quanta Services and Parker Hannifin.
“All of the things that are going to be required for us to continue to support this AI boom, the electrification of the U.S. economy, is certainly one of them,” he said, noting the firm’s U.S. Electrification ETF (ZAP) gives investors exposure to them. The ETF is up almost 24% so far this year.
The Global X U.S. Electrification ETF is also performing a few percentage points better than the VanEck Semiconductor ETF for the month.
At ThredUp‘s 600,000-square-foot warehouse in Suwanee, Georgia, roughly 40,000 pieces of used clothing are processed each day. The company’s logistics network — four facilities across the U.S. — now rivals that of some fast-fashion giants.
“This is the largest garment-on-hanger system in the world,” said Justin Pina, ThredUp’s senior director of operations. “We can hold more than 3.5 million items here.”
Secondhand shopping is booming. The global secondhand apparel market is expected to reach $367 billion by 2029, growing almost three times faster than the overall apparel market, according to GlobalData.
About 97 percent of clothing sold in the U.S. is imported, mostly from China, Vietnam, Bangladesh and India, according to the American Apparel and Footwear Association.
“When tariffs raise those costs, resale platforms suddenly look like the smart buy. This isn’t just a fad,” said Jasmine Enberg, co-CEO of Scalable. “Tariffs are accelerating trends that were already reshaping the way Americans shop.”
For James Reinhart, ThredUp’s CEO, the company is already seeing it play out.
“The business is free-cash-flow positive and growing double digits,” said Reinhart. “We feel really good about the economics, gross margins near 80% and operations built entirely within the U.S.”
ThredUp reported that revenue grew 34% year over year in the third quarter. The company also said it acquired more new customers in the quarter than at any other time in its history, with new buyer growth up 54% from the same period last year.
“If tariffs add 20% to 30% to retail prices, that’s a huge advantage for resale,” said Dylan Carden, research analyst at William Blair & Company. “Pre-owned items aren’t subject to those duties, so demand naturally shifts.”
Inside the ThredUp warehouse, where CNBC got a behind-the-scenes look. automation hums alongside human workers. AI systems photograph, categorize, and price thousands of garments per hour. For Reinhart, the technology is key to scaling resale like retail.
“AI has really accelerated adoption,” said Reinhart. “It’s helping us improve discovery, styling, and personalization for buyers.”
That tech wave extends beyond ThredUp. Fashion-tech startups Phia, co-founded by Phoebe Gates and Sophia Kianni, is using AI to scan thousands of listings across retail and resale in seconds.
“The fact that we’ve driven millions in transaction volume shows how big this need is,” Gates said. “People want smarter, cheaper ways to shop.”
ThredUp is betting that domestic infrastructure, automation, and AI will keep it ahead of the curve, and that tariffs meant to revive U.S. manufacturing could end up powering a new kind of American fashion economy.
“The future of fashion will be more sustainable than it is today,” said Reinhart. “And secondhand will be at the center of it.”
CNBC’s Deirdre Bosa asked those at the epicenter of the boom for their take, sitting down with the founders of two of the buzziest AI startups.
Amjad Masad, founder and CEO of AI coding startup Replit, admits there’s been a cooldown.
“Early on in the year, there was the vibe coding hype market, where everyone’s heard about vibe coding. Everyone wanted to go try it. The tools were not as good as they are today. So I think that burnt a lot of people,” Masad said. “So there’s a bit of a vibe coding, I would say, hype slow down, and a lot of companies that were making money are not making as much money.”
Masad added that a lot companies were publishing their annualized recurring revenue figures every week, and “now they’re not.”
Navrina Singh, founder and CEO of startup Credo AI, which helps enterprises with AI oversight and risk management, is seeing more excitement than fear.
“I don’t think we are in a bubble,” she said. “I really believe this is the new reality of the world that we are living in. As we know, AI is going to be and already is our biggest growth driver for businesses. So it just makes sense that there has to be more investment, not only on the capability side, governance side, but energy and infrastructure side as well.”