Uber: From Lollapalooza to AV Bonanza ($UBER Deep Dive)

One of the most dominant companies trading at 22x trailing FCF and growing FCF at >30%

I write publicly because genuine long-term thinking is rare. Instead of short-term “book reports,” I make an effort to uncover real long-term insights by breaking things down to first principles. Then I write about it so that anybody could understand me.

I focus on 10-year growth (or decay) stories; businesses with emerging or established moats (disadvantages), trading at asymmetric prices. I sometimes indulge on good companies temporarily losing their way.

Curiosity is my superpower and I believe every thing is a unique puzzle.

All my models are on GitHub (@realVasileios).

Table of Contents

1. Thesis

2. What UBER Really Does

3. The Moat

4. The Growth & Profitability Story

5. The Autonomous Vehicle Opportunity

6. Valuation

7. Risks

Thesis

Uber is one of the most dominant companies in the world through the strong local network effects it enjoys in the cities it operates in, and is trading for a mere 22x earnings multiple. Uber will experience a lollapalooza effect going forward due to long and accelerating growth runway (low penetration, advertising, Uber One, suburban expansion), continued cost leverage (more mature markets), and increased FCF per share from buybacks. Autonomous vehicles will be a great opportunity for Uber to expand TAM and increase profitability in the outer years.

What Uber Really Does

Uber has built a real-time marketplace for transportation needs. On the demand side, you have people that either want to hitch a ride or request a last-mile delivery, and on the supply side you have drivers and couriers that service those needs. The two sides connect through a consumer-friendly mobile app that connects riders to drivers and merchants.

Traditionally, Uber started out moving people (Mobility), eventually moved to food deliveries from restaurants, and now it pretty much delivers anything from any retail merchant (Delivery).

The Hyper-Local Flywheel

The most basic principle for understanding Uber’s business is local network density per unit time or simply density, which represents the balance between riders and drivers within a specific market at a specific time of day. The “denser” the market, the better the balance between riders and drivers. Simply, for a given number of riders within a market, Uber wants to have enough drivers, in the same places and at the same times, so that matches happen quickly and drivers remain highly utilized.

The benefits of high density are immense for both drivers and riders.

For drivers, high density translates to more earnings due to higher utilization. In a dense market, the driver spends more time driving customers and earning vs. roaming around empty. Thus, the same driver can earn more money for the same amount of time driven.

For riders, high density means lower ETAs and lower prices. ETAs are lower because drivers are geographically closer to riders which makes the experience better. Prices are lower because driver utilization is higher; if Uber targets to pay a driver $30 / hour, when the driver makes more trips due to higher density, Uber can charge a lower amount per trip and still hit the salary numbers.

A simple sketch to explain local density is as follows:

higher density → higher driver utilization → lower cost per trip + lower ETAs → higher rider conversion & frequency → more trips → attracts/retains drivers → reinforces density

The above flywheel is an ideal case scenario and happens more so in mature markets. In markets that are less mature, Uber must subsidize the network in order to achieve higher density levels, by giving discounts to existing and new riders, and bonuses to drivers. Once a specific density threshold is crossed, the flywheel starts to work, and Uber pulls back from subsidies.

The Moat

At the heart of Uber’s advantage is solving the “cold start problem” aka creating demand and supply from scratch for each and every market Uber enters. As an increasing number of markets mature through higher density, Uber gains a strong cost advantage over competitors.

Local network effects

It’s important to note that although Uber is a global business, it’s best thought of as a hyper-local one. That’s because the density of one market has almost no effect on another market. Having a dense network in NYC doesn’t mean almost anything for L.A. Or consider that having drivers in Queens doesn’t serve consumers in downtown Manhattan.

Uber must create a dense network for every neighborhood it wants to serve. For those reasons, when Uber opens up a new market it must start from scratch by getting local regulatory approvals and building up the two-sided network. Having a monopoly in NYC doesn’t mean a guaranteed monopoly in Chicago, a dynamic that’s much more natural to social networks. Therefore, Uber must be thought of as a collection of city “near-monopolies” vs. a global one.

In investing lingo, this means that Uber benefits from local network effects, which is the same as classic network effects (i.e. the more participants, the better for everyone) but isolated for each market that Uber enters.

What’s most critical is that once Uber achieves high density in a market (e.g. lower ETAs, lower prices, high driver utilization etc.), it’s significantly more difficult for a sub-scale player to co-exist without burning through high amounts of capital losses (explained below).

Glocal Economies of Scale / Lowest Cost Producer

To maximize profit, Uber wants to minimize cost per ride. Fixed costs are R&D, engineering, and sales / admin / marketing expenses, whereas variable costs are insurance, driver pay, driver and rider incentives, processing fees, and data center expenses.

For Uber, getting global scale is not enough to turn the company profitable. Global scale must be accompanied by local scale. In other words, if you see Uber as a compilation of individual markets, Uber is the most profitable when it achieves economies of scale in each market it competes, due to all the benefits that come from high density.

Higher density translates to lower driver pay and lower incentives for drivers/riders. That’s because in a dense market, drivers already make a lot of money due to higher utilization, and thus Uber can have a higher take rate of the cost trip without denting overall driver pay. In addition, when a market is dense, Uber can cut back on driver/rider incentives because drivers are getting paid well and cost per trip is low for riders already.

The local economies of scale allows Uber to take the contribution margin from profitable markets and invest it in immature markets until they become more dense, a source of capital and an advantage that’s not available to subscale competitors. In addition to local economies of scale, as Uber executes more rides as a whole, it can spread its fixed cost base across more rides, and thus lower its cost per ride even further.

As a whole, scale and density makes Uber the lowest cost transportation provider, giving the company an immense amount of firepower to open up new markets and fight against competitors.

Global Network Effects & Brand

To a lesser extent, Uber benefits from global network effects as well, since Uber’s global presence allows customers to use Uber with ease anywhere they travel. This is more of a convenience perk than an economic moat. In addition to global network effects, Uber has become a verb in many languages, which is the ultimate branding status for any company.

The Growth & Profitability Story

Uber is a lollapalooza in the making driven by a long growth runway, a significant cost leverage opportunity, and buybacks, which will translate into rapid FCF per share growth in the coming decade.

Fundamentally, Uber’s growth formula is simple:

# of consumers * trip frequency * trip price * take rate = revenue

Uber is experiencing a number of structural tailwinds that should boost revenue growth and profitability per share as outlined below.

Revenue Drivers

Low Market Penetration

Any way you dissect it, Uber is at the early innings of its growth story. As of 3Q25, Uber has 189mm monthly active platform consumers that produce approximately $200bn in gross bookings. This represents less than 5% of the population in Uber’s active markets. In addition, Uber is currently only in 70 countries for mobility and 30 countries for delivery vs 200+ countries total. In terms of TAM, retail delivery is a $12tr market and Uber generates only $100bn in bookings from delivery.

In terms of mobility, the real competitor isn’t other rideshare platforms, but car ownership. Currently less than 1% of miles are driven in Ubers. As Uber achieves greater density and lowers cost per trip, the economic case for car ownership weakens. Case in point, car ownership rates are declining in major urban markets, and younger cohorts show less interest in vehicle ownership altogether. The lower Uber can push its prices through scale and efficiency, the more consumers will abandon the fixed costs of car ownership in favor of on-demand transportation.

Uber One Membership

The Uber One subscription program, currently available in only 30 countries, is growing at 60% annually. Uber One members use Uber with 3x higher frequency across both mobility and delivery, creating a stickier and more valuable customer base. As Uber rolls out the program to more markets and converts more users to subscribers, average revenue per user should climb meaningfully.

Suburban Markets

Uber is expanding into more suburban markets where it makes sense, and these markets are growing at a 3x higher growth rate than the overall business. Suburban markets are tougher to build density, but with the combination of mobility and delivery, Uber can provide much higher earnings potential for drivers to sign up.

Taxi Integration

In markets where regulatory barriers remain high, Uber is partnering with existing taxi fleets rather than fighting them. Onboarding taxis expands supply without the capital intensity of incentivizing new drivers, accelerating time to density in difficult markets.

Free Cash Flow Drivers

Advertising

Uber’s advertising business is scaling rapidly. Currently it stands at an annual run rate of $1.5bn and growing at 60%, with 70%+ incremental gross margins. With captive audiences in both mobility and delivery, the company can monetize attention without degrading the core experience. Overall, advertising is a boon for both revenue growth and profitability.

Market Maturation

Over the past 5 years, Uber has onboarded >5,000 cities, and thus it is still spending heavily on driver incentives and rider discounts to develop these markets. As these markets mature and achieve sustainable density, incentive spend can be dialed back dramatically. This mix shift toward maturity is a powerful profitability tailwind.

Lower Customer Acquisition Costs

Uber experiences a powerful effect on CAC by having both a mobility and delivery offering, as users cross-pollinate from one to the other platform. Specifically, approximately 22% of first-time delivery users come from the ridesharing platform, providing a lower customer acquisition cost for delivery than competitors face.

Combined users also drive higher driver utilization, since delivery can fill in the dead-head afternoons with additional trips for drivers, increasing earnings per hour and reducing the need for incentives.

Operating Leverage

Uber should continue to get fixed cost leverage as it increases overall revenue and number of trips globally. The company has long room to run here, as it’s still investing heavily in new products, geographies, and technologies.

Share Repurchase Program

Management announced a $20bn share repurchase program, which represents ~15% of total market cap. As management decreases share count, FCF per share will benefit.

The Autonomous Vehicle Opportunity

Autonomous vehicles is an opportunity for Uber to both expand TAM and lower cost per ride to Uber. At end-state, AVs could be owned by independent companies such as private equity, and most likely managed by third-party companies such as rental car companies. As the tech advances, it’s likely that autonomy becomes somewhat of a commodity and all car manufacturers embed it into vehicles as a standard feature.

Uber’s role and competitive advantage in this world is that it owns the demand. Similar to a rental car company, an AV fleet is a financed depreciable asset that must be utilized as much as possible over its life in order to generate good economic returns. Uber’s high rider numbers and high density networks will allow AV fleets to have the highest possible utilization. For that reason, it’s my belief that the only viable AV fleets will be the one that use the Uber platform.

In addition, a successful ride-hailing network will be a hybrid one, due to a higher overall utilization potential. The daily patterns of ride-hailing varies tremendously depending on what time it is. To service a peak like rush-hour or after a sports event, you need many cars on the road. A hybrid network can flex the number of cars on the road to service a peak much faster since drivers can just be incentivized to work those events. In contrast, to service peak hours with just an AV fleet, you would need to have a high number of AVs on the road that may go highly underutilized during off-peak hours, decreasing their overall ROI.

TAM Expansion

As we outlined above, the real TAM for Uber is car ownership, and the lower the cost per ride to the consumer the higher the propensity to ditch owning a car. As AVs eliminate the need to have a driver, who takes upwards of 70-80% of a trip’s cost, Uber will be able to decrease the cost per ride to the consumer without sacrificing its dollar take rate, since it will be able to share the gains with the AV owner.

That said, the AV owner will have costs that current drivers don’t have, such as vehicle maintenance and cleaning, however, the overall savings from not having a driver will trump the additional costs.

Incentive Elimination

As we discussed, driver and rider incentives are a big part of Uber’s variable cost base. As AVs take up a larger share of Uber’s fleet, Uber will see decreased incentive expenses and at the same time a much more stable driver base since attrition should decrease as AV numbers increase.

Lower Insurance Costs

Currently, Uber pays a hefty sum to insure its drivers. When AVs reach high levels of autonomy and superhuman driving ability, it’s very likely that insurance costs will decrease because accidents will come down. This will provide a significant tailwind to Uber’s profitability.

Valuation

To triangulate value, I looked at a number of different methods. The bottom line is that no matter how you look at it, Uber is a bargain at current levels.

5-Year Multiple

Currently Uber is growing at 18%, while the growth is accelerating and printing 14% FCF margins (excl. SBC). As shown below even if the growth gets cut by 600bps and margins decrease by 200bps, you can still make a 16% CAGR through 2030. It’s worth noting that Uber has $18bn worth of equity investments and $34.5bn in net operating losses that can be used to offset future profits, and which I account for in my calculation of adjusted market cap.

Sum-Of-The-Parts

Since Uber’s Delivery business is identical to DoorDash, you can value Delivery comparably to DoorDash and subtract it from the overall business to see how much you are paying for Mobility. As you can see below, Uber’s Delivery business is superior to DoorDash, having a higher revenue base, higher growth rate, and similar margins.

When we value Delivery comparably to DoorDash, we essentially buy Mobility for 1.3x sales vs. 6x for DoorDash’s delivery business. Arguably, Mobility is a much stronger franchise for Uber, with strong growth and competitive advantage vs. Delivery, and it should be valued at least on the same multiple as Delivery. If we value Mobility at 6x sales, then Uber should be worth 90-100% higher today.

The bottom line is that any way you look at it, Uber is an undervalued stock today.

Risks

Despite Uber’s strong competitive position, several structural risks could materially impair the company’s economics.

Driver Classification and Labor Regulation

The most significant near-term risk is regulatory reclassification of drivers as employees rather than independent contractors. This threat manifests both through legislation (like California’s AB5) and through ongoing litigation in multiple jurisdictions.

If drivers become employees, Uber would face substantially higher costs: minimum wage guarantees, payroll taxes, benefits, workers’ compensation insurance, and potential unionization. These costs could increase the variable cost per trip, severely compressing margins in markets that took years to become profitable.

Autonomous Vehicles

Autonomous vehicles present a double-edged sword for Uber. While AVs could expand TAM and reduce costs, they could also weaken Uber’s competitive position.

Reduced leverage over supply: Today, Uber has significant negotiating power because drivers are fragmented individuals. In an AV world, Uber negotiates with sophisticated fleet operators who have bargaining power, alternative options, and professional management. These operators could demand higher revenue shares, play platforms against each other, or even integrate vertically by building their own demand channels.

Vertical integration by competitors: Tesla presents an existential threat through potential vertical integration. If Tesla deploys a robotaxi network leveraging its vehicle manufacturing, AI capabilities, and 6+ million existing customers with the Tesla app, it could bypass Uber entirely. Tesla would control the full stack—vehicle, autonomy, and demand—keeping 100% of the economics.

Commoditization of the platform: If multiple AV fleets operate across several platforms simultaneously (Uber, Lyft, Waymo, local competitors), Uber becomes a thin software layer with limited pricing power. The defensibility of aggregating demand diminishes if supply is abundant and homogeneous.

Delivery Remains Competitive

Limited differentiation: Food delivery is largely commoditized as consumers care about selection, speed, and price, not the platform. DoorDash dominates the U.S., while regional players like Delivery Hero, Just Eat Takeaway, Meituan, and countless local competitors fragment the global market. Uber must spend heavily on incentives and marketing to maintain share.

Profitability challenges: Contribution margins in delivery are thin, and the path to sustainable profitability without subsidies remains unproven at scale. Customer acquisition costs are high, frequency needs to be very high to achieve payback, and restaurants increasingly reset the take rates that make the business viable for platforms.

Amazon: In grocery and convenience delivery, Amazon’s logistics infrastructure, Prime membership base, and willingness to sustain losses create a formidable competitor. Uber lacks the same distribution centers and inventory management capabilities.

Regulation and fee caps: Cities have begun capping delivery fees (typically at 15%), which pressures margins. Labor classification risk applies here too—if delivery drivers become employees, the business model collapses in most markets.