DoorDash

Almost $20 trillion in revenue—and a record-breaking $1.87 trillion in profits. Introducing the 2025 Fortune 500, the definitive list of the biggest companies in America.

Fortune 500

The 300 companies on this year’s list brought in over $12.6 trillion in revenue for the latest 12 months, with the median revenue figure at $22 billion.

America's Most Innovative Companies

Industries included in the sector are computers, internet services, IT services, semiconductors, and software companies.

Fortune Sector Leaders: Technology

The Fortune 500, in its 70th year in 2024, ranks the biggest U.S. companies by revenue.

The 200 companies on this list are transforming industries from the inside out.

The 300 companies on this list are transforming industries from the inside out.

These innovative companies are laying the foundations for robust growth—and outsize returns for shareholders.

Future 50-2023-Doordash

Delivery startups were all the rage in the late 2010s, but many have fallen by the wayside; DoorDash is one of the stronger companies still standing. International expansion, experiments in new categories (including grocery delivery), and weakening competition have positioned the San Francisco–based company well. The company is expected by analysts to generate $8.6 billion in revenue in 2023, up 30% from the previous year.

The Future 50

The Fortune 500, in its 69th year in 2023, ranks the biggest U.S. companies by revenue.

This year’s Fortune 500 marks the 68th running of the list.

This year’s Fortune 500 marks the 67th running of the list.

Future 50

Overall Score

Sector

Culture rank

Process rank

Product rank

Years on list

Previous rank

Key Financials (last Fiscal Year)

Revenues ($M)

Profits ($M)

Assets ($M)

Total Stockholder Equity ($M)

Profit Ratios

Profit as % of Revenues

Profits as % of Assets

Profits as % of Stockholder Equity

Earnings Per Share (last Fiscal Year)

Earnings Per Share ($)

EPS % Change (from prior fiscal year)

EPS % Change (5 year annual rate)

EPS % Change (10 year annual rate)

Total Return

Total Return to Investors (last year)

Total Return to Investors (5 year, annualized)

Total Return to Investors (10 year, annualized)

DoorDash operates online marketplaces that connect merchants, consumers, and independent delivery contractors in the United States and internationally. The company, which was founded in 2013 as Palo Alto Delivery, is best known for its restaurant-delivery service and delivery membership programs including DashPass. DoorDash also sells white-label software services that enable online ordering, mobile app development, and enhanced customer service.

Q2 2025

Q1 2025

Q4 2024

DoorDash (DASH): Company Profile, Stock Price, News, Rankings

legacy

doordash

Companies

DoorDash | Fortune

DoorDash (DASH): Company Profile, Stock Price, News, Rankings | Fortune

Preston Fore

Deliveroo CEO Will Shu turned 100-hour weeks on Wall Street into a $4 billion food empire. Now he’s cashing out with $250 million

/2025/09/18/deliveroo-ceo-will-shu-wall-street-banker-to-4-billion-food-delivery-empire-walking-away-multimillionaire/

Sheryl Estrada

DoorDash CEO Tony Xu: M&A is easy on paper— ‘very hard to get right in practice’

/2025/09/09/doordash-ceo-tony-xu-ma-easy-paper-very-hard-get-right-practice-cfo/

Jessica Mathews

DoorDash CEO Tony Xu says path to autonomous deliveries filled with ‘lots of pain and suffering’ but company is nearing first inning of commercial progress

/2025/09/08/doordash-ceo-tony-xu-interview-brainstorm-tech-autonomous-drone-deliveries/

Jessica Coacci

YC co-founder who backed Airbnb, Dropbox, and Reddit says high school isn’t the time to launch a startup

/2025/09/08/yc-cofounder-gen-z-warning-high-school-not-time-to-start-startup-reddit-airbnb-dropbox/

Eva Roytburg

Dollar General builds a rural delivery edge over Walmart and Amazon—and it’s taking their higher-income shoppers, too

/2025/08/28/dollar-general-rural-america-delivery/

https://fortune.com/2025/09/18/deliveroo-ceo-will-shu-wall-street-banker-to-4-billion-food-delivery-empire-walking-away-multimillionaire/?itm_source=parsely-api

https://fortune.com/2025/09/08/yc-cofounder-gen-z-warning-high-school-not-time-to-start-startup-reddit-airbnb-dropbox/?itm_source=parsely-api

DoorDash CEO Tony Xu says path to autonomous deliveries filled with 'lots of pain and suffering' but company is nearing first inning of commercial progress

https://fortune.com/2025/09/08/doordash-ceo-tony-xu-interview-brainstorm-tech-autonomous-drone-deliveries/?itm_source=parsely-api

DoorDash CEO Tony Xu: M&amp;A is easy on paper— 'very hard to get right in practice'

https://fortune.com/2025/09/09/doordash-ceo-tony-xu-ma-easy-paper-very-hard-get-right-practice-cfo/?itm_source=parsely-api

Emma Burleigh

This Gen Zer dropped out of NYU at just 19 to launch his blockchain—now, his $1.3 billion company is backed by Mark Cuban and he never takes a day off

https://fortune.com/2025/08/05/eric-chen-injective-cofounder-ceo-blockchain-crypto-gen-z-nyu-dropout-lifestyle-business-leaders-work-life-balance/?itm_source=parsely-api

Irina Ivanova

The new partnership between Affirm and Experian means the impulse-buying economy will be running headlong into America’s data-mining ecosystem

https://fortune.com/2025/04/04/buy-now-pay-later-bnpl-affirm-credit-report/?itm_source=parsely-api

Jason Del Rey

DoorDash is worth $100 billion thanks to dominating U.S. restaurant delivery. A much larger opportunity is starting to come into view

https://fortune.com/2025/08/06/doordash-food-delivery-acquisitions-business-expansion-tony-xu-earnings/?itm_source=parsely-api

https://fortune.com/2025/08/28/dollar-general-rural-america-delivery/?itm_source=parsely-api

California beats out Texas and New York for the most Fortune 500 companies

https://fortune.com/2024/06/04/fortune-500-california-most-companies/?itm_source=parsely-api

Meet the 35-year-old tech exec helping chart DoorDash’s future—after a rapid rise to become one of Amazon’s youngest female VPs ever

https://fortune.com/2025/05/29/doordash-vp-parisa-sadrzadeh-career-profile-english-major-amazon-youngest-female-vice-presidents-sevenrooms-acquisition/?itm_source=parsely-api

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

The metaverse means different things to different people, but to the CEO of Niantic, this fully-immersive future is “technology gone wrong.”

Niantic CEO John Hanke on his take of the ‘metaverse’

 Stuart Isett for FORTUNE BRAINSTORM TECH

Niantic CEO John Hanke on his take of the ‘metaverse’


your vision of the metaverse is very different. This helps inform what you were talking about in a recent blog post where you called it a dystopian nightmare as it is being more widely Formulated right by maybe some of the tech giants you wrote, a lot of people are talking about the metaverse these days coming off 18 months of Zoom Netflix and Doordash. You can count me out at least in the form that most folks are imagining. And so what is your vision of the metaverse in that case and where does it differ? Well, you know, I mean, I'm a fan of the metaverse as a work of fiction, like I'm a huge neal Stephenson fan and William Gibson fan already play our one fan, but if you read all the way to the end, I'm not sure everybody, you know who's been talking about it has read to the end, but um you know, the world in those books is like this horrible place, you know, where everything has gone wrong, nobody can go outside anymore. It's polluted, there's crime everywhere. Well, it's kind of like the way things are um the point being like that's I think that's not the future that we want, where like the world is so horrible that the only our only respite are only relief is to Jack into this digital thing and just block it all out, I think that would be really horrible. Actually, don't think that's where tech is headed. I don't think that's what's going to happen. But as people are getting really excited about that vision, I just felt compelled to raise my hand and sort of say like, hey let's pause a moment here and ask the question like is that the future we want to build or is there may be a different future where we use this technology that we've invested hundreds of billions of dollars and maybe more over the past few decades and apply it to try to like reconnect us as a society and you know, just make the world a better place, a place that we would. You know, hopefully you feel good about passing on to our kids and you know, I think that technology has the potential and promise for that. And you know in many ways we have an obligation to use technology and our position in our companies to try to try to do that. Do you see a future? Right. Your focus is A. R. But do you see a future in which VR do you ever see a future where you maybe dive into VR or do you think VR as a technology as an entirety is immoral or problematic? Yes. Well I often will point to this guy, Mark Weiser who was a computer scientist at xerox parc. Uh he's passed on but he did it a lot of similar work around this notion of like he called it ubiquitous computing. The basic theory is that over time computers become smaller, less intrusive and they just sort of fade away. They become invisible to us, but they're always there to help us give us information that we need guidance to the world, help us do things that we couldn't otherwise do give us superpowers, but they don't get in the way of us being human beings and like talking to other people face to face and interacting with the world. Um and he compared that vision of ubiquitous computing even in 1991 to VR and he said, you know, VR literally cut you off from the world, like you're jacked in, the glasses are on, you're not seeing anything except what's being projected into your eyes, are not aware of what's around you. And um you know, he said the future is the former, you know, it's this world where computing is there to help us and it's kind of invisible, it's this great assistant to humanity. So um I think that that is going to be the main way that we use tech now. They are, I mean you all probably have amazing home theater system set up at home, you probably have surround sound, great speakers and giant LED screens. Like there's a place for like immersive entertainment, you know, I like watching, you know, a great movie on a giant screen, I want to see Dune on the biggest screen possible. Um but it's it's I think VR is kind of good for that. You know, it's good for like when you those times of the day when maybe you really want to get away even for that though, Like what I want to watch a movie or have a VR experience with my wife at home, with us, sitting side by side on a couch with a VR headset on, vs watching a screen and having checked out with her and just kind of feeling her presence and being there together. Like I, you know, I'm not sure, I think VR is kind of a niche application.

A conversation with Alok Gupta of DoorDash and Freedom Dumlao of Zipcar.

How DoorDash and Zipcar pivoted during the pandemic with the help of A.I. 

Tech

DoorDash and Zipcar pivoted during the pandemic with A.I. 

So how has door dash pivoted during the pandemic? And I guess the role that a I played um as you thought about all of this, one of the things we saw when the pandemic started was an increased demand by people home for food delivery etcetera. And at the same time it was coupled with have fewer people commuting less traffic on the road. So what that meant was we had a surge in demand and all of our food um prediction times for how long it would take to deliver an item. Got a little confused because it's far quicker to travel the road. So we have to readjust all of our models to instead of training on say the last three months of data, shrink it to the last two days or two weeks of data. And so it's a scramble to go through all of our models. What do we need to update? Um That was one thing, the second thing was there was a a really big demand from users to access grocery and convenience items from home more than than there had been. So we had to accelerate some of our ai there in problem areas. We haven't really done much before in the past like predicting inventory, recommending substitution sort of problems that you don't see in the food delivery, but you see in the grocery delivery space freedom. How about you? How how I guess how did the demand change during the pandemic? And then as we came out of the pandemic and power you able to leverage ai for that. Yeah it was it was a pretty dramatic shift, you know, similarly to what you were speaking to look all of a sudden the traffic disappeared. Some of that was people just simply were staying home. So at the very beginning of the pandemic, nobody was driving, nobody was doing anything. Um, and then all of a sudden everyone was driving again, at least everyone was getting into zip cars again for us. Uh That came as a shock because it was sort of all at once. There wasn't anything that really helps us to predict that that was about to happen. And then once we saw it happening, we noticed right away that the the types of drives and the driving behavior that our members had were completely different right before the pandemic, people would wake up in the morning, maybe they would take a Zipcar to the office or to do their daily chores. Um, but people had all decided to, you know, people were all forced to work from home, uh which meant that they were spending more time where they maybe had an opportunity in the middle of the day to do something different. Uh, So the models for how people were using cars dramatically changed during the pandemic. And even now, even as we've seen some offices reopening, we're still seeing lots of people who are still staying at home. And so that the way that they use our our cars has changed. Uh, fortunately before the pandemic, we've made some pretty big investments in some systems that helped us to predict what we would need in terms of positioning vehicles to make sure that every member had access to a vehicle when they needed it. Uh so we were able to tune that system once we started seeing how people were driving again and get those predictions to be back on target so that members can get access to vehicles when they needed them again. So this is very interesting because a lot of machine learning models are very data hungry. But if you can't use historical data, how do you gather, I guess. How do you get enough data to train these machine learning models accurately? I think the first one doesn't you accept at the beginning there's gonna be some noise and um, elevated levels of inaccuracy and you sort of use that cost of that budget to explore the data space maybe more actively than you would otherwise to then build up your training set, then you can then take advantage of and train the model. But yeah, there's no shortcut in the beginning of a lot of trial and more more error than usual for us, we were able fortunately to to leverage some comparable models. So for example holidays and vacation weeks and things like that helped us to bridge quite a bit. But you know, we did have to sort of drop that time period of like the bizarre, nobody's leaving their house anymore time period. All of that was basically useless for us as we restarted. So we had to sort of skip that period in time. Hello, can you share some of the more creative uses of ai that you've seen within door dash? Yeah. So one thing we see with a lot of our restaurants are merchants on the platform. They're opening and closing hours can be quite dynamic and if we send an order when they're not open, it's a poor experience for everybody. So um one of the functionalities, our dashes have the dashes are the folks that door dash that pick up the item from the restaurant, deliver it to the customer is when they go to a restaurant and they see it closed. They take a photo to verify that it's closed and to help us process and just our timing. We used that bank of photos and we saw that was actually pretty good information. They're using computer vision, we could actually read the updated opening and closing times and use that to dynamically update the restaurants. How is it um And other use cases based on some of our best performing dashes, we're able to improve our hyper local understanding of restaurants and residents to try and surmise what are the best routes or places to park and then routes to walk to get inside the restaurant inside an apartment building and it may seem trivial, but shaving 10 seconds here, five seconds there really adds up to improve the experience with the dash to the customer, the merchant, everyone, and so we're going that sort of into that level of detail.

Food delivery app DoorDash is going public

DoorDash

DoorDash in Fortune Rankings

DoorDash stock chart

Videos