Energy sector dominated this year for the first time since 2008, with 28 companies featured on the list.

100 Fastest-Growing Companies

Fastest-growing Companies

Revenue 3 Yr Growth Rank

Revenue 3 Yr Annual Growth Rate

EPS 3 Yr Growth Rank

EPS 3 Yr Annual Growth Rate

Total Return 3 Yr Rank

Total Return 3 Yr Annual Rate (Through June 28, 2024)

Beat S&P 500 3 Yr Return (10%)

Current Streak

Years on List

Sector

Get insights into OMA including business profile, stock information, news, and rankings from Fortune.

OMA (OMAB): Company Profile, Stock Price, News, Rankings

legacy

Companies

OMA | Fortune

OMA (OMAB): Company Profile, Stock Price, News, Rankings | Fortune

Delivery robots, drone drops, new business lines, and global expansion: DoorDash has transformed into a full-stack commerce platform for local businesses. CEO and Co-founder Tony Xu joins us to explore how DoorDash is approaching automation, international expansion, and a broader push into hospitality and retail.

Tony Xu
Cofounder and CEO, Doordash 

Jason Del Rey
Tech Correspondent; Cochair, Fortune Brainstorm 

Now Serving: Global Ambition

Conferences

WM CEO Jim Fish joins Leadership Next to unpack how the company formerly known as Waste Management is reinventing itself for a new era—one defined by sustainability, automation, and culture-first leadership. Fish explains how WM is transforming from a landfill-dependent waste hauler into a high-tech environmental leader, investing in profitable recycling centers and piloting autonomous garbage trucks. He shares why recycling is not only good for the planet but a major business driver, and reveals WM’s plan to reduce 5,000 jobs through attrition—not layoffs—by automating hard-to-fill roles. Along the way, Fish reflects on the surprising role trash collection has played in improving public health, and why, in his eyes, managing waste responsibly is a civic duty we all share.

Inside WM’s Plan to Automate the Future of Trash

Photo Courtesy of Jim Fish; Graphic by Fortune

Leadership

Wayfair thrived during the pandemic, scaling to over 30 million products and rising to #217 on the Fortune 500. But after a post-COVID slump, it’s rethinking its strategy. In 2024, the company opened its first large-format retail store and rolled out new AI tools to reimagine how people shop for their homes. Here’s how Wayfair is betting on technology and in-person retail to power its next chapter in a crowded home-goods market.


How Wayfair’s Betting on AI to Future Proof its $12B Empire 

Wayfair is betting big on AI and physical retail to reconnect with shopper

Tech

Wayfair thrived during the pandemic, scaling to over 30 million products and rising to #217 on the Fortune 500. But after a post-COVID slump, it’s rethinking its strategy

How Wayfair Built a $12 Billion Home Retail Empire 

Wayfair built its multi-billion dollar business by selling home goods online, eventually scaling to more than 30 million products. Today, it's the largest online home goods retailer in the United States, but after a pandemic boom in sales, growth slumped, and so did the company's stock price. Now Wayfair is pivoting. In 2024, it stepped into physical retail with its first large format store. At the same time, it's betting on AI to streamline operations and reimagine how shoppers discover furniture. So we've been using the sort of text to image generation capability to generate an AI to be able to showcase a whole bunch of different images that our customers can then react to and say, oh, I like this. Here's how Wayfair built a $12 billion home goods empire. And how it's using AI and big box retail to fuel its next chapter. Founded in 2002 as a network of niche furniture sites, Wayfair evolved into a sprawling online marketplace. It now offers over 30 million products from around 20,000 suppliers. It also runs a lineup of lifestyle and luxury brands. The main basic difference between Wayfair and some of its other home furnishing competitors is that it is a marketplace platform, so they don't own any of their inventory. Everything is just forward position. on their site so that consumers can use it from the many vendors that they work with. Unlike many of its competitors, Wayfair doesn't manufacture or own its inventory. Instead, it connects shoppers with third party suppliers. This dropship business model allowed Wayfair to scale quickly, offering an enormous product catalog while keeping fixed costs low. Having these relationships with some of these smaller vendors is really unique in that it's a More visible way for the vendors to reach a much broader total addressable market. It helps elevate the business of small vendors while it also helps provide more choices to consumers for Wayfair. During the pandemic, that model helped the company thrive. Sales surged by 45% in 2020 as consumers redecorated during lockdowns. The next year, Wayfair shot up the Fortune 500 rankings, climbing more than 100. 30 spots to land at number 217. When we look back at COVID, that clearly accelerated e-commerce adoption across a number of categories, things like grocery and furniture. We saw the share price really rise to around $350 a share, but post-pandemic demand cooled as interest rates climbed and inflation pinched household budgets. Spending on big ticket furniture slowed. Wayfair's stock lost over 80% of its. between 2021 and early 2023, investors realized things are going to reopen. People are traveling. They're eating at restaurants again, and it wasn't idiosyncratic to Wayfair. It was across the industry, right? All of the peers really saw that phenomenon. Major home retailers like Bed Bath and Beyond filed for bankruptcy in 2023, shuttering hundreds of stores around the country. Despite declining sales post pandemic, Wayfair was. A to weather the market volatility. You know, if you look at somebody like Bed Bath and Beyond, there were liquidity issues. Interestingly, despite the fact that really Wayfair isn't generating a whole lot of profitability, the way that the capital structure works is that they don't really need that same sort of liquidity. But as the online home retail market has become more crowded, Wayfair is looking for ways to improve its e-commerce model and its customer experience. So we've been applying AI for quite some time, probably over a decade. The more recent advancements are allowing us to take that to yet another level. Fiona Tan is Wayfair's chief technology officer. Over the last few years, she has helped lead the company's investments in AI. It's a category where it's hard for our customers sometimes to describe what they're looking for. And then sometimes they don't really even know what they're looking for, so we've been using the sort of text to image generation capability to generate a AI to be able to showcase, you know, a whole bunch of different images that our customers can then react to and say, oh, I like this. I didn't know, I don't know what it's called, but it speaks to me. In 2025, Wayfair debuted a generative AI platform called Muse. The tool allows shoppers to curate AI generated home designs in certain styles. From there, the platform will recommend Wayfair products that fit the look. And then you can even tailor it a little bit more and just say, OK, well I like this, but I prefer green chairs instead of beige, and as you interact with muse, it'll generate you another image based on what you're saying. As the customers are inspired and engaged more with us, we're able to discern better what the intent and what their style preferences are, maybe what the budget preferences are, and then it allows us. And then recommend products for them. Waver says that level of personalization may help reduce return rates by giving customers more confidence in their purchases because the customers are more confident of the products that they buy or they've been able to get more information about it, ideally what you also see is there are fewer returns, right, because you're able to help them make um more. Informed decisions. Behind the scenes, Wayfair's legal, HR, and finance teams are also using AI to process data faster and streamline operations. For example, our legal teams using it to be able to look at, you know, user reviews to look for items that may have caused any kind of injury, and then you'll have examples in the technology department. Our accounting and finance team is also leveraging it. So it's really across the enterprise. While AI is helping to streamline Wayfair's digital operations, the company is also testing a more traditional strategy opening physical stores. In May 2024, Wayfair opened its first large format retail store in Wilma, Illinois, just outside of Chicago. The 150,000. A square foot store features showrooms, interior design services, and a cafe. Instead of spending marketing dollars on digital spend, you're spending your marketing dollars on physical spend. While competitors like William Sonoma benefit from built-in visibility through their retail locations, Wayfair has had to rely more heavily on advertising. every, every home. In 2024, they spent about 12% of their net revenue on advertising, while competitors like William Sonoma spent about 7% and Restoration Hardware only spent 4%. Wayfair leans into advertising a little bit more because it's hard to remain visible when you're an e-commerce only retailer, right? And so, You know, reminding consumers that you exist isn't free. Wayfair's new store location sits strategically along a major commuter highway. Since the opening of the store, Wayfair says sales in Illinois have jumped around 15%. Based on early results, Wayfair plans to open two more large format stores, one in Atlanta, Georgia and another in Yonkers, New York. Still, when it comes to home goods, Wayfair operates in a competitive and fragmented landscape. While the company holds the top spot for largest online home goods retailer in the US, it's only by a small margin, very fragmented, very hard to have a competitive advantage. We think Wayfair is one of a number of competitors that are really struggling. To avoid discounting and reinvent themselves in different ways to remain relevant to consumers. Big box retailers like Walmart, Target, and IKEA all sell home goods with the added advantage of physical stores, tight logistics, and brand familiarity. Other high-end home goods companies like RH and Pottery Barn offer in-person shopping that build a more luxury customer experience. It's a lot easier to be top of mind when you are a pottery barn in a mall or a RH that has a freestanding store and a restaurant, and it's an experience, but we. moves into brick and mortar stores and AI are helping to close that gap. So one of the capabilities again of AI and also generative AI is our ability to understand, have a deeper understanding of the products that we sell, discerning the color, the size, dimensions. Some of it's in the product details, sometimes there may be errors and it can also augment and enrich the information. That we get from our suppliers, so we're doing a lot in the customer experience. I do think AI will help young people sort of get their head around how they want to plan their smaller spaces, but also, you know, the accessible price points that is that Wayfair offers also helps bring those consumers in, and I think that a lot of that is their their main consumer.

DBS, Southeast Asia’s largest and most profitable bank, is betting big on artificial intelligence to define the next era of global banking. From algorithmic credit scoring and AI-enabled fraud detection to hyper-personalized customer engagement, the bank is embedding intelligence across its platforms to drive both efficiency and growth. With regional competition heating up and digital expectations rising, the challenge is no longer whether to adopt AI—but how to do so responsibly, securely, and at scale. CEO Tan Su Shan shares how the bank is navigating that challenge, what being AI-fueled means in practice, and how institutions across Asia can turn automation and analytics into real strategic advantage.

OMA

OMA in Fortune Rankings

OMA stock chart

Videos