Uber Technologies (UBER)
Market Price (12/23/2025): $81.47 | Market Cap: $169.8 BilSector: Industrials | Industry: Passenger Ground Transportation
Uber Technologies (UBER)
Market Price (12/23/2025): $81.47Market Cap: $169.8 BilSector: IndustrialsIndustry: Passenger Ground Transportation
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| Attractive yieldTotal YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 9.8%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 5.6%, FCF Yield is 5.1% | Weak multi-year price returns2Y Excs Rtn is -13% | Key risksUBER key risks include [1] global legal and regulatory challenges to its driver classification model and [2] the long-term threat of being disintermediated by companies operating their own autonomous vehicle networks. |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 18% | ||
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 18%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 17%, CFO LTM is 9.0 Bil, FCF LTM is 8.7 Bil | ||
| Low stock price volatilityVol 12M is 38% | ||
| Megatrend and thematic driversMegatrends include E-commerce & Digital Retail, Experience Economy & Premiumization, Fintech & Digital Payments, Future of Freight, Show more. |
| Attractive yieldTotal YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 9.8%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 5.6%, FCF Yield is 5.1% |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 18% |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 18%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 17%, CFO LTM is 9.0 Bil, FCF LTM is 8.7 Bil |
| Low stock price volatilityVol 12M is 38% |
| Megatrend and thematic driversMegatrends include E-commerce & Digital Retail, Experience Economy & Premiumization, Fintech & Digital Payments, Future of Freight, Show more. |
| Weak multi-year price returns2Y Excs Rtn is -13% |
| Key risksUBER key risks include [1] global legal and regulatory challenges to its driver classification model and [2] the long-term threat of being disintermediated by companies operating their own autonomous vehicle networks. |
Why The Stock Moved
Qualitative Assessment
AI Analysis | Feedback
Here are the key points explaining the movement of Uber Technologies (UBER) stock from approximately August 31, 2025, to December 23, 2025, resulting in an approximate -13.3% decline: 1. Uber's operating income missed estimates due to a significant one-time legal/regulatory charge.The company's operating income fell short of projections, primarily impacted by a one-time charge of $479 million related to undisclosed legal and regulatory matters. 2. Cautious Q4 guidance dampened investor sentiment.
Uber's fourth-quarter guidance, which aligned with analyst estimates rather than exceeding them, led to a cautious outlook among investors. Show more
Stock Movement Drivers
Fundamental Drivers
The -18.2% change in UBER stock from 9/22/2025 to 12/22/2025 was primarily driven by a -38.2% change in the company's P/E Multiple.| 9222025 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 99.39 | 81.26 | -18.24% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 47331.00 | 49610.00 | 4.82% |
| Net Income Margin (%) | 26.68% | 33.54% | 25.74% |
| P/E Multiple | 16.46 | 10.18 | -38.17% |
| Shares Outstanding (Mil) | 2091.11 | 2084.18 | 0.33% |
| Cumulative Contribution | -18.24% |
Market Drivers
9/22/2025 to 12/22/2025| Return | Correlation | |
|---|---|---|
| UBER | -18.2% | |
| Market (SPY) | 2.7% | 49.8% |
| Sector (XLI) | 2.6% | 48.4% |
Fundamental Drivers
The -4.7% change in UBER stock from 6/23/2025 to 12/22/2025 was primarily driven by a -29.9% change in the company's P/E Multiple.| 6232025 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 85.24 | 81.26 | -4.67% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 45380.00 | 49610.00 | 9.32% |
| Net Income Margin (%) | 27.07% | 33.54% | 23.89% |
| P/E Multiple | 14.52 | 10.18 | -29.89% |
| Shares Outstanding (Mil) | 2092.46 | 2084.18 | 0.40% |
| Cumulative Contribution | -4.67% |
Market Drivers
6/23/2025 to 12/22/2025| Return | Correlation | |
|---|---|---|
| UBER | -4.7% | |
| Market (SPY) | 14.4% | 39.5% |
| Sector (XLI) | 9.6% | 38.1% |
Fundamental Drivers
The 33.8% change in UBER stock from 12/22/2024 to 12/22/2025 was primarily driven by a 219.7% change in the company's Net Income Margin (%).| 12222024 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 60.73 | 81.26 | 33.81% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 41955.00 | 49610.00 | 18.25% |
| Net Income Margin (%) | 10.49% | 33.54% | 219.68% |
| P/E Multiple | 28.99 | 10.18 | -64.90% |
| Shares Outstanding (Mil) | 2101.66 | 2084.18 | 0.83% |
| Cumulative Contribution | 33.80% |
Market Drivers
12/22/2024 to 12/22/2025| Return | Correlation | |
|---|---|---|
| UBER | 33.8% | |
| Market (SPY) | 16.9% | 56.4% |
| Sector (XLI) | 19.2% | 56.6% |
Fundamental Drivers
The 229.8% change in UBER stock from 12/23/2022 to 12/22/2025 was primarily driven by a 103.3% change in the company's P/S Multiple.| 12232022 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 24.64 | 81.26 | 229.79% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 29048.00 | 49610.00 | 70.79% |
| P/S Multiple | 1.68 | 3.41 | 103.33% |
| Shares Outstanding (Mil) | 1979.30 | 2084.18 | -5.30% |
| Cumulative Contribution | 228.86% |
Market Drivers
12/23/2023 to 12/22/2025| Return | Correlation | |
|---|---|---|
| UBER | 31.7% | |
| Market (SPY) | 47.7% | 48.4% |
| Sector (XLI) | 42.3% | 52.3% |
Price Returns Compared
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| UBER Return | 71% | -18% | -41% | 149% | -2% | 31% | 167% |
| Peers Return | � | � | � | 37% | 13% | 26% | � |
| S&P 500 Return | 16% | 27% | -19% | 24% | 23% | 17% | 113% |
Monthly Win Rates [3] | |||||||
| UBER Win Rate | 58% | 42% | 33% | 58% | 42% | 58% | |
| Peers Win Rate | � | � | 30% | 55% | 55% | 65% | |
| S&P 500 Win Rate | 58% | 75% | 42% | 67% | 75% | 73% | |
Max Drawdowns [4] | |||||||
| UBER Max Drawdown | -50% | -30% | -51% | 0% | -6% | 0% | |
| Peers Max Drawdown | � | � | � | -10% | -21% | -25% | |
| S&P 500 Max Drawdown | -31% | -1% | -25% | -1% | -2% | -15% | |
[1] Cumulative total returns since the beginning of 2020
[2] Peers: LYFT, DASH, CHRW, RXO, JBHT. See UBER Returns vs. Peers.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2025 data is for the year up to 12/22/2025 (YTD)
How Low Can It Go
| Event | UBER | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -67.6% | -25.4% |
| % Gain to Breakeven | 208.8% | 34.1% |
| Time to Breakeven | 545 days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -64.1% | -33.9% |
| % Gain to Breakeven | 178.5% | 51.3% |
| Time to Breakeven | 232 days | 148 days |
Compare to DASH, LYFT, UBER, CAR, HTZ
In The Past
Uber Technologies's stock fell -67.6% during the 2022 Inflation Shock from a high on 2/10/2021. A -67.6% loss requires a 208.8% gain to breakeven.
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AI Analysis | Feedback
Here are 1-2 brief analogies for Uber Technologies (UBER):
The Netflix of transportation.
An Amazon for local, on-demand services like rides and food delivery.
AI Analysis | Feedback
- Ridesharing: Connects passengers with drivers for on-demand private transportation services.
- Food Delivery (Uber Eats): Facilitates on-demand delivery of meals from restaurants to customers.
- Freight (Uber Freight): Provides a logistics platform matching freight carriers with shippers for commercial goods transportation.
- Other On-Demand Delivery: Extends its delivery network to include groceries, convenience store items, and packages.
AI Analysis | Feedback
Uber Technologies (UBER) primarily sells its services to individuals rather than other companies for the vast majority of its business, particularly within its dominant Mobility and Delivery segments. While Uber Freight (a smaller segment) serves businesses, the company's major customers are individuals.
Its major individual customer categories can be described as follows:
- On-Demand Mobility Customers: These are individuals who use the Uber platform for various transportation needs, including personal rides, daily commutes, airport transfers, and travel for social events or errands. They value convenience, accessibility, and reliability in transportation.
- On-Demand Delivery Customers: These are individuals who utilize Uber Eats, Postmates, and other associated platforms to order food from restaurants, groceries, alcohol, and other retail items for delivery to their location. They seek convenience, variety, and time-saving solutions for their meal and shopping needs.
- Corporate/Enterprise-Affiliated Individual Customers: While still individuals, this category includes employees and business travelers whose Uber usage (encompassing both mobility and delivery services) is often facilitated, managed, or expensed through their employer via programs like "Uber for Business." This segment uses Uber for corporate travel, business meals, or client-related needs, distinguishing them from purely personal users.
AI Analysis | Feedback
- Amazon (AMZN)
- Alphabet (GOOGL)
- Hertz Global Holdings (HTZ)
- Visa (V)
- Mastercard (MA)
AI Analysis | Feedback
Dara Khosrowshahi, Chief Executive Officer
Dara Khosrowshahi became the Chief Executive Officer of Uber in 2017, leading the company through its 2019 IPO and a strategic shift towards profitability. Prior to joining Uber, he served as the CEO of Expedia Group for 12 years, where he significantly expanded its global footprint and annual revenue from $2.1 billion to $8.7 billion. During his tenure at Expedia, he oversaw strategic acquisitions of companies like Trivago, Orbitz, and HomeAway. Before his leadership role at Expedia, Khosrowshahi was the Chief Financial Officer of IAC, a company that acquired Expedia in 2002 before spinning it off in 2005. He began his career as an analyst at Allen & Company.
Prashanth Mahendra-Rajah, Chief Financial Officer
Prashanth Mahendra-Rajah joined Uber as Chief Financial Officer on November 13, 2023. In this role, he is responsible for shaping financial strategy, investor relations, and capital allocation, focusing on profitability and financial growth. Before his appointment at Uber, Mahendra-Rajah served as the Chief Financial Officer of Analog Devices since September 2017. His previous experience includes holding the CFO position at WABCO Holdings from June 2014 to September 2017, and various financial leadership roles at Applied Materials, Visa, and United Technologies.
Tony West, Senior Vice President, Chief Legal Officer, and Corporate Secretary
Tony West serves as Uber's Senior Vice President, Chief Legal Officer, and Corporate Secretary, leading the company's global Legal, Compliance and Ethics, and Security functions since 2017. Before his time at Uber, West was the General Counsel, Executive Vice President Public Policy & Government Affairs, and Corporate Secretary at PepsiCo. He also has a distinguished public sector career, having served as the 17th Associate Attorney General of the United States from 2012 to 2014, the third-ranking official at the U.S. Department of Justice. Earlier in his career, he worked as an Assistant U.S. Attorney and a litigation partner.
Andrew Macdonald, President and Chief Operating Officer
Andrew Macdonald is the President and Chief Operating Officer at Uber, overseeing the company's global operations and leading initiatives to enhance efficiency and customer experience. He has been instrumental in scaling Uber's global presence and establishing strategic partnerships. His career is deeply rooted within Uber, and he also holds board positions at companies like Lime and Careem, bringing extensive experience from the food and technology industries.
Nikki Krishnamurthy, Senior Vice President, Chief People Officer
Nikki Krishnamurthy holds the position of Senior Vice President, Chief People Officer at Uber, where she is responsible for the company's global human resources, workplace culture, and diversity, equity, and inclusion initiatives. Her role is crucial in attracting, retaining, and developing top talent for Uber. Prior to joining Uber, Krishnamurthy served as the Chief People Officer at Expedia Group.
AI Analysis | Feedback
The key risks to Uber Technologies (UBER) are primarily centered around regulatory and legal challenges, intense competition, and the long-term implications of autonomous vehicle technology.
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Regulatory and Legal Challenges (Driver Classification)
The most significant near-term financial threat to Uber is the ongoing global regulatory and legal scrutiny regarding the classification of its drivers. Uber currently classifies its drivers as independent contractors, which allows for a flexible operational cost structure. However, if courts or new legislation force Uber to treat its drivers as employees, the company's operational costs would increase significantly due to requirements such as minimum wage, benefits, and payroll taxes. This issue has been a persistent "thorn in Uber's side" with legislative and court challenges in various jurisdictions worldwide, including California's Assembly Bill 5 and similar discussions in Europe. Legal and regulatory matters have already translated directly into financial misses for Uber.
-
Competition
Uber operates in a highly competitive and rapidly changing environment across its mobility, delivery, and logistics segments. Key competitors include Lyft in ride-hailing and DoorDash in food delivery within the U.S., as well as formidable global rivals like Bolt and Ola. This intense competition often forces Uber to lower fares, offer driver incentives, and provide consumer discounts, which can negatively impact its financial performance and profitability. Low barriers to entry in these industries and the ease with which users can switch to lower-cost providers further intensify this risk.
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Autonomous Vehicles (AVs)
While autonomous vehicles (AVs) were once seen as a major opportunity for Uber to eliminate its largest cost—drivers—they are increasingly viewed as a significant long-term threat. If companies that develop full self-driving technology decide to operate their own robotaxi services, they could bypass Uber entirely, potentially rendering Uber's traditional ride-hailing platform obsolete. Furthermore, there are substantial risks associated with AV development and deployment, including regulatory delays, intense technological competition from players like Waymo and Tesla, and the potential for safety incidents, which could lead to significant regulatory backlash and reputational damage. Uber's failure to offer competitive autonomous vehicle technologies could also adversely impact its financial performance and prospects.
AI Analysis | Feedback
The emergence and scaling of independent, vertically integrated autonomous vehicle (AV) ride-hailing services by well-capitalized competitors (e.g., Waymo, Cruise). These companies are developing their own AV technology and deploying ride-hailing services directly to consumers, potentially bypassing and undercutting Uber's traditional driver-dependent model in key urban markets due to lower operating costs and consistent service quality once scaled.
AI Analysis | Feedback
Uber Technologies operates in three primary market segments: Mobility (ridesharing), Delivery (Uber Eats), and Freight (Uber Freight).
Mobility (Ridesharing)
- The global ride-sharing market was valued at approximately USD 123.08 billion in 2024. This market is projected to grow to USD 480.09 billion by 2032, exhibiting a Compound Annual Growth Rate (CAGR) of 18.5% from 2024 to 2032.
- In North America, the ride-sharing market was valued at USD 48.02 billion in 2023. The U.S. ride-sharing market alone is projected to reach an estimated value of USD 167.2 billion by 2032.
Delivery (Uber Eats)
The addressable market for Uber Eats encompasses both meal and grocery delivery services globally.
- The global meal delivery market generated approximately USD 390 billion in 2023 and is projected to reach USD 520 billion by 2028.
- The global grocery delivery market generated around USD 640 billion in 2023 and is projected to nearly double to USD 1.28 trillion by 2028.
- Combined, the global meal and grocery delivery services achieved total net sales of USD 1.03 trillion by 2023.
Freight (Uber Freight)
Uber Freight operates within the digital freight matching and on-demand freight transportation markets.
- The global digital freight matching market was valued at USD 47.31 billion in 2024 and is expected to exceed USD 766.72 billion by 2034, growing at a CAGR of 32.12% from 2025 to 2034.
- The global on-demand freight transportation market is estimated at USD 123.14 billion in 2025 and is expected to reach USD 259.46 billion by 2030, at a CAGR of 16.07% during the forecast period (2025-2030).
- In North America, the digital freight matching market was valued at USD 14.36 billion in 2024.
- The broader European logistics market is expected to reach 1.17 trillion EUR by 2029. Uber Freight aims for €2 billion in freight under management in Europe by 2028.
AI Analysis | Feedback
Uber Technologies (UBER) is anticipated to drive future revenue growth over the next 2-3 years through several key strategic initiatives and market dynamics:- Expansion of Advertising Business: Uber's advertising segment is a rapidly expanding revenue stream, consistently demonstrating robust growth. The company has surpassed a $1.5 billion annual run-rate for its advertising business, with year-over-year growth exceeding 60%. This growth is fueled by "Journey Ads" within the Uber app and sponsored listings on Uber Eats, extending across both mobility and delivery segments. Strategic partnerships, such as with Instacart's Carrot Ads, further extend reach to consumer packaged goods (CPG) brands.
- Growth in Grocery and Retail Delivery: Beyond its core restaurant delivery, Uber Eats is aggressively expanding into the grocery and broader retail delivery sectors. This segment is experiencing faster growth than restaurant delivery and is identified as a substantial untapped market opportunity. Initiatives like integrating SNAP/EBT payments and forging collaborations with major retailers like Aldi and Carrefour aim to diversify its customer base and product portfolio, driving increased market share.
- Integration and Scaling of Autonomous Vehicles (AVs): Uber is investing significantly in autonomous vehicle technology and forming strategic partnerships for both its mobility and delivery platforms. While this area currently requires substantial upfront investment and may temper near-term margin expansion, AVs are expected to enhance long-term efficiency, optimize supply, and serve as a monetization engine by reducing costs and increasing capacity as deployments expand globally.
- Increased User Engagement and Cross-Platform Adoption: A key driver of growth is the focus on increasing Monthly Active Platform Consumers (MAPCs) and encouraging existing users to engage with both Uber's mobility and delivery services. The Uber One membership program is pivotal in this strategy, with members spending significantly more (three times higher) than single-product users. The company is investing in technology, including AI, to improve personalization and search, thereby enhancing the user experience and driving frequency.
- Geographic Expansion and Penetration in New Markets: Uber continues to identify significant growth opportunities through geographic expansion, particularly by extending its services into less densely populated markets outside of traditional urban centers. This strategy aims to broaden its consumer and earner base, capitalizing on the long-term trend towards service spending and the growing consumer preference for on-demand convenience.
AI Analysis | Feedback
Share Repurchases
- Uber authorized its first-ever share repurchase program of $7 billion in 2024.
- An accelerated share repurchase program of $1.5 billion, part of the $7 billion authorization, was completed in the first quarter of 2025.
- In the second quarter of 2025, Uber announced a new share repurchase authorization of an additional $20 billion of common stock, complementing the remaining portion of the $7 billion program.
Share Issuance
- Uber Technologies' shares outstanding increased in 2022 (4.19%), 2023 (5.92%), and 2024 (2.81%).
- As of November 2025, the number of outstanding shares was approximately 2.08-2.09 billion.
- The weighted average shares outstanding have been fairly consistent, indicating limited dilution over the observed periods.
Outbound Investments
- In 2021, Uber acquired Drizly for $1.1 billion and Transplace for $2.25 billion to expand its food delivery and freight businesses, respectively.
- Uber made strategic divestitures, including selling its Advanced Technologies Group (ATG) to Aurora Innovation for $4 billion in equity in 2021 and its Elevate division to Joby Aviation.
- Recent acquisitions in 2025 include Trendyol Go for $700 million, Crowntaxi, and Dantaxi, signifying continued strategic expansion.
Capital Expenditures
- Uber's capital expenditures were $298 million in 2021, $252 million in 2022, $223 million in 2023, and $242 million in 2024.
- For the first three quarters of 2025, capital expenditures were $479 million in Q1, $189 million in Q2, and $588 million in Q3.
- Uber maintains an "asset-light" business model, aiming to keep capital expenditure requirements low, particularly regarding autonomous vehicles through strategic partnerships rather than direct fleet ownership.
Latest Trefis Analyses
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| ARTICLES |
Trade Ideas
Select ideas related to UBER. For more, see Trefis Trade Ideas.
| Date | Ticker | Company | Category | Trade Strategy | 6M Fwd Rtn | 12M Fwd Rtn | 12M Max DD |
|---|---|---|---|---|---|---|---|
| 11212025 | CNM | Core & Main | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 18.9% | 18.9% | -1.6% |
| 11212025 | VRRM | Verra Mobility | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 5.5% | 5.5% | -1.2% |
| 11212025 | LII | Lennox International | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 6.5% | 6.5% | 0.0% |
| 11212025 | ADP | Automatic Data Processing | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 3.3% | 3.3% | -1.2% |
| 11212025 | CW | Curtiss-Wright | Quality | Q | Momentum | UpsideQuality Stocks with Momentum and UpsideBuying quality stocks with strong momentum but still having room to run | 6.0% | 6.0% | -0.4% |
Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons for Uber Technologies
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 123.12 |
| Mkt Cap | 19.5 |
| Rev LTM | 12,342 |
| Op Inc LTM | 746 |
| FCF LTM | 917 |
| FCF 3Y Avg | 620 |
| CFO LTM | 1,343 |
| CFO 3Y Avg | 1,261 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 16.6% |
| Rev Chg 3Y Avg | 13.7% |
| Rev Chg Q | 15.5% |
| QoQ Delta Rev Chg LTM | 3.7% |
| Op Mgn LTM | 5.2% |
| Op Mgn 3Y Avg | 2.5% |
| QoQ Delta Op Mgn LTM | 0.3% |
| CFO/Rev LTM | 15.3% |
| CFO/Rev 3Y Avg | 11.0% |
| FCF/Rev LTM | 11.2% |
| FCF/Rev 3Y Avg | 5.7% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 19.5 |
| P/S | 1.4 |
| P/EBIT | 24.7 |
| P/E | 33.2 |
| P/CFO | 20.7 |
| Total Yield | 2.9% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | 3.1% |
| D/E | 0.1 |
| Net D/E | 0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | 11.8% |
| 3M Rtn | -11.2% |
| 6M Rtn | 17.7% |
| 12M Rtn | 35.6% |
| 3Y Rtn | 93.3% |
| 1M Excs Rtn | 13.1% |
| 3M Excs Rtn | -14.0% |
| 6M Excs Rtn | -0.3% |
| 12M Excs Rtn | 20.2% |
| 3Y Excs Rtn | 5.2% |
Comparison Analyses
Segment Financials
Revenue by Segment| $ Mil | 2024 | 2023 | 2022 | 2021 | 2020 |
|---|---|---|---|---|---|
| Mobility | 19,832 | 14,029 | 6,953 | 6,089 | 10,707 |
| Delivery | 12,204 | 10,901 | 8,362 | 3,904 | 1,401 |
| Freight | 5,245 | 6,947 | 2,132 | 1,011 | 731 |
| All Other | 0 | 8 | 135 | 119 | |
| Advanced Technologies Group (ATG) and Other Technology Programs | 42 | ||||
| Total | 37,281 | 31,877 | 17,455 | 11,139 | 13,000 |
| $ Mil | 2024 | 2023 | 2022 | 2021 | 2020 |
|---|---|---|---|---|---|
| Mobility | 4,963 | 3,299 | 1,596 | 1,169 | 2,071 |
| Delivery | 1,506 | 551 | -348 | -873 | -1,372 |
| Loss on lease arrangement, net | -4 | -7 | |||
| Legal, tax, and regulatory reserve changes and settlements | -9 | -732 | -526 | 35 | -353 |
| Acquisition, financing and divestitures related expenses | -36 | -46 | -102 | -86 | |
| Restructuring and related charges | -51 | -2 | 0 | -362 | -57 |
| Freight | -64 | 0 | -130 | -227 | -217 |
| Goodwill and asset impairments/loss on sale of assets | -84 | -25 | -157 | -317 | -8 |
| Depreciation and amortization | -823 | -947 | -902 | -575 | -472 |
| Stock-based compensation expense | -1,935 | -1,793 | -1,168 | -827 | -4,596 |
| Corporate G&A and Platform Research and Development (R&D) | -2,353 | -2,137 | -1,881 | -2,136 | -2,457 |
| Accelerated lease costs related to cease-use of Right of use (ROU) assets | -6 | -5 | -102 | ||
| All Other | 0 | -11 | -461 | -251 | |
| COVID-19 response initiatives | -1 | -54 | -106 | ||
| Legacy auto insurance transfer | 0 | -103 | |||
| Mass arbitration fees, net | 14 | -43 | |||
| Gain on lease arrangement, net | 0 | 5 | |||
| Advanced Technologies Group (ATG) and Other Technology Programs | -499 | ||||
| Driver appreciation award | -299 | ||||
| Payroll tax on IPO stock-based compensation | -86 | ||||
| Total | 1,110 | -1,832 | -3,834 | -4,863 | -8,596 |
Price Behavior
| Market Price | $81.26 | |
| Market Cap ($ Bil) | 169.4 | |
| First Trading Date | 05/10/2019 | |
| Distance from 52W High | -18.8% | |
| 50 Days | 200 Days | |
| DMA Price | $89.96 | $87.58 |
| DMA Trend | up | down |
| Distance from DMA | -9.7% | -7.2% |
| 3M | 1YR | |
| Volatility | 33.0% | 38.4% |
| Downside Capture | 224.13 | 100.20 |
| Upside Capture | 97.98 | 113.59 |
| Correlation (SPY) | 49.0% | 56.4% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 1.55 | 1.35 | 1.40 | 1.13 | 1.07 | 1.22 |
| Up Beta | 0.72 | 0.83 | 0.35 | 1.01 | 1.19 | 1.37 |
| Down Beta | 2.87 | 1.18 | 1.12 | 1.29 | 1.03 | 1.18 |
| Up Capture | 55% | 90% | 132% | 88% | 100% | 201% |
| Bmk +ve Days | 12 | 25 | 38 | 73 | 141 | 426 |
| Stock +ve Days | 6 | 16 | 27 | 60 | 126 | 382 |
| Down Capture | 210% | 194% | 207% | 128% | 97% | 102% |
| Bmk -ve Days | 7 | 16 | 24 | 52 | 107 | 323 |
| Stock -ve Days | 12 | 23 | 33 | 62 | 119 | 363 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Comparison of UBER With Other Asset Classes (Last 1Y) | |||||||
|---|---|---|---|---|---|---|---|
| UBER | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 33.1% | 17.0% | 14.7% | 67.3% | 6.8% | -0.5% | -16.6% |
| Annualized Volatility | 38.2% | 19.0% | 19.7% | 19.3% | 15.2% | 17.6% | 35.4% |
| Sharpe Ratio | 0.83 | 0.69 | 0.57 | 2.54 | 0.23 | -0.18 | -0.25 |
| Correlation With Other Assets | 55.8% | 55.6% | 10.8% | 26.7% | 29.6% | 26.6% | |
ETFs used for asset classes: Sector ETF = XLI, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Comparison of UBER With Other Asset Classes (Last 5Y) | |||||||
|---|---|---|---|---|---|---|---|
| UBER | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 9.6% | 14.1% | 15.0% | 18.9% | 11.8% | 5.1% | 35.8% |
| Annualized Volatility | 46.3% | 17.2% | 17.1% | 15.5% | 18.7% | 18.9% | 48.9% |
| Sharpe Ratio | 0.36 | 0.66 | 0.71 | 0.98 | 0.51 | 0.18 | 0.63 |
| Correlation With Other Assets | 45.3% | 51.4% | 8.8% | 9.5% | 33.7% | 25.0% | |
ETFs used for asset classes: Sector ETF = XLI, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Comparison of UBER With Other Asset Classes (Last 10Y) | |||||||
|---|---|---|---|---|---|---|---|
| UBER | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 10.7% | 13.5% | 14.9% | 14.9% | 6.7% | 5.5% | 69.9% |
| Annualized Volatility | 51.7% | 19.9% | 18.0% | 14.8% | 17.6% | 20.8% | 55.8% |
| Sharpe Ratio | 0.40 | 0.60 | 0.71 | 0.84 | 0.30 | 0.23 | 0.90 |
| Correlation With Other Assets | 46.4% | 50.8% | 9.3% | 18.7% | 38.1% | 24.6% | |
ETFs used for asset classes: Sector ETF = XLI, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 11/4/2025 | -5.1% | -5.6% | -8.8% |
| 8/6/2025 | -0.2% | 2.6% | 2.9% |
| 5/7/2025 | -2.5% | 6.9% | -1.4% |
| 2/5/2025 | -7.6% | 10.3% | 7.5% |
| 10/31/2024 | -9.3% | -6.4% | -9.4% |
| 8/6/2024 | 10.9% | 18.4% | 22.4% |
| 5/8/2024 | -5.7% | -7.3% | -2.2% |
| 2/7/2024 | 0.3% | -2.1% | 12.7% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 13 | 13 | 12 |
| # Negative | 11 | 11 | 12 |
| Median Positive | 5.5% | 6.9% | 16.3% |
| Median Negative | -5.7% | -6.6% | -7.9% |
| Max Positive | 18.9% | 29.5% | 28.2% |
| Max Negative | -9.3% | -19.7% | -23.5% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 9302025 | 11042025 | 10-Q 9/30/2025 |
| 6302025 | 8062025 | 10-Q 6/30/2025 |
| 3312025 | 5072025 | 10-Q 3/31/2025 |
| 12312024 | 2142025 | 10-K 12/31/2024 |
| 9302024 | 10312024 | 10-Q 9/30/2024 |
| 6302024 | 8062024 | 10-Q 6/30/2024 |
| 3312024 | 5082024 | 10-Q 3/31/2024 |
| 12312023 | 2152024 | 10-K 12/31/2023 |
| 9302023 | 11072023 | 10-Q 9/30/2023 |
| 6302023 | 8022023 | 10-Q 6/30/2023 |
| 3312023 | 5032023 | 10-Q 3/31/2023 |
| 12312022 | 2212023 | 10-K 12/31/2022 |
| 9302022 | 11022022 | 10-Q 9/30/2022 |
| 6302022 | 8042022 | 10-Q 6/30/2022 |
| 3312022 | 5052022 | 10-Q 3/31/2022 |
| 12312021 | 2242022 | 10-K 12/31/2021 |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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