Uber Technologies, Inc
A global mobility and logistics leader transforming urban transport through its proprietary AI-driven matching engine and diversified revenue streams.
A global mobility and logistics leader transforming urban transport through its proprietary AI-driven matching engine and diversified revenue streams.
Uber has successfully transitioned from a growth-at-all-costs model to a profitable powerhouse with $10.09B in 2025 earnings and a healthy balance sheet holding over $9B in cash. The diversification into advertising and freight provides high-margin ancillary revenue that insulates the core business, while the massive buyback program directly returns capital to shareholders.
Valuation multiples may be stretched given the company's history of losses and ongoing regulatory headwinds in key jurisdictions like Europe and the US. The heavy reliance on gig-worker contracts exposes margins to labor cost inflation and legal liabilities, while competition from tech giants entering the mobility sector could erode market share.
Uber Technologies Inc operates as a technology platform connecting drivers with riders and merchants with consumers globally, serving markets including ride-hailing, food delivery, freight transportation, and advertising.
The company demonstrated a robust turnaround with 2025 net income reaching $10.09B, driven by strong operational cash flow of $10.10B that significantly outpaced net profit margins. Revenue growth accelerated from $31.88B in 2022 to $52.02B in 2025, while the massive $6.52B share repurchase program signals management's confidence in intrinsic value despite high cash reserves of $9.65B.
The global transportation network industry is consolidating around dominant platforms that leverage data networks to optimize asset utilization, with increasing pressure for profitability over hyper-growth. Regulatory environments are shifting towards stricter labor protections which historically pressured margins but may stabilize long-term unit economics.
| Metric | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|
| Revenue | $31.88B | $37.28B | $43.98B | $52.02B |
| Cost of Revenue | $19.66B | $22.46B | $26.65B | $31.34B |
| Gross Profit | $12.22B | $14.82B | $17.33B | $20.68B |
| Operating Expenses | $14.05B | $13.71B | $14.53B | $15.11B |
| Operating Income | $-1.83B | $1.11B | $2.80B | $5.57B |
| R&D | $2.80B | $3.16B | $3.11B | $3.40B |
| G&A | $3.14B | $2.68B | $3.64B | $3.24B |
| Marketing | $4.76B | $4.36B | $4.34B | $4.90B |
| Stock-Based Comp | $1.79B | $1.94B | $1.80B | $1.83B |
| D&A | $947.0M | $823.0M | $711.0M | $719.0M |
| Depreciation | $346.0M | $355.0M | $332.0M | $329.0M |
| Amortization | $523.0M | $362.0M | $294.0M | $269.0M |
| Other OpEx | $3.36B | $3.51B | $3.44B | $3.57B |
| Non-Operating Income | $-7.59B | $1.21B | $1.33B | $235.0M |
| Interest Expense | $565.0M | $633.0M | — | — |
| Interest Income | $139.0M | $484.0M | $721.0M | $743.0M |
| Pre-Tax Income | $-9.43B | $2.32B | $4.12B | $5.80B |
| Income Tax | $-181.0M | $213.0M | $-5.76B | $-4.35B |
| Continuing Ops | $-9.24B | $2.11B | $9.88B | $10.15B |
| Discontinued Ops | $107.0M | $48.0M | $-38.0M | $-53.0M |
| Net Income | $-9.14B | $2.16B | $9.85B | $10.09B |
| Minority Interest | $3.0M | $269.0M | $-11.0M | $40.0M |
| Net to Common | $-9.14B | $1.89B | $9.86B | $10.05B |
| Metric | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|
| Current Assets | $9.25B | $11.30B | $12.24B | $13.99B |
| Cash & Equivalents | $4.21B | $4.68B | $5.89B | $7.11B |
| Marketable Securities | $103.0M | $727.0M | $1.08B | $528.0M |
| Accounts Receivable | $2.78B | $3.40B | $3.33B | $3.83B |
| Prepaid Expenses | $1.48B | $1.68B | $1.39B | $1.90B |
| Other Current Assets | $680.0M | $805.0M | $545.0M | $631.0M |
| Long-Term Assets | $22.86B | $27.40B | $39.00B | $47.81B |
| PP&E (Net) | $2.08B | $2.07B | — | — |
| Intangibles | $1.87B | $1.43B | $1.12B | $1.05B |
| Goodwill | $8.26B | $8.15B | $8.07B | $8.93B |
| Operating Leases | $1.45B | $1.24B | $1.16B | $1.11B |
| Other LT Assets | $8.32B | $14.16B | $28.35B | $36.43B |
| Total Assets | $32.11B | $38.70B | $51.24B | $61.80B |
| Current Liabilities | $8.85B | $9.45B | $11.48B | $12.32B |
| Accounts Payable | $728.0M | $790.0M | $858.0M | $1.01B |
| Current Debt | $27.0M | $25.0M | $1.15B | $0 |
| Current Leases | $201.0M | $190.0M | $175.0M | $169.0M |
| Other Current Liab | $1.67B | $1.99B | $9.29B | $11.14B |
| Long-Term Liabilities | $14.75B | $16.56B | $17.29B | $21.40B |
| Long-Term Debt | $9.27B | $9.46B | $8.35B | $10.52B |
| LT Operating Leases | $1.67B | $1.55B | $1.45B | $1.39B |
| Other LT Liab | $3.81B | $5.55B | $7.49B | $9.49B |
| Total Liabilities | $23.61B | $26.02B | $28.77B | $33.72B |
| Shareholders' Equity | $8.50B | $12.68B | $22.48B | $28.08B |
| Paid-In Capital | $40.55B | $42.26B | $42.80B | $38.10B |
| Retained Earnings | $-32.77B | $-30.59B | $-20.73B | $-10.63B |
| AOCI | $-443.0M | $-421.0M | $-517.0M | $-432.0M |
| Total L&E | $32.11B | $38.70B | $51.24B | $61.80B |
| Metric | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|
| Net Income (CFO) | $-9.14B | $2.16B | $9.85B | $10.09B |
| Non-Cash Adjustments | $8.68B | $-1.15B | $-2.76B | $-2.58B |
| Working Capital Changes | $1.10B | $2.58B | $52.0M | $2.59B |
| Cash from Operations | $642.0M | $3.58B | $7.14B | $10.10B |
| Capital Expenditures | $252.0M | $223.0M | $242.0M | $336.0M |
| Cash from Investing | $-1.64B | $-3.23B | $-3.18B | $-3.56B |
| Debt Issuances | $0 | $2.82B | $3.97B | $3.36B |
| Debt Repayments | $0 | $2.67B | $3.99B | $2.35B |
| Share Buybacks | — | — | $1.25B | $6.52B |
| Cash from Financing | $15.0M | $-95.0M | $-2.09B | $-5.71B |
| FX Effect | $-148.0M | $63.0M | $-267.0M | $215.0M |
| Net Change in Cash | $-1.13B | $327.0M | $1.61B | $1.04B |
| Beginning Cash | $7.80B | $6.68B | $7.00B | $8.61B |
| Ending Cash | $6.68B | $7.00B | $8.61B | $9.65B |
Core segments include Mobility (ride-hailing), Delivery (food and grocery commerce), Freight (B2C and B2B logistics), and Advertising (in-app monetization).
Regulatory scrutiny and potential driver classification lawsuits in major markets, intense competition from traditional automakers entering the ride-hailing space, economic sensitivity impacting discretionary spending on rides, and cybersecurity threats to user data.
Proprietary machine learning algorithms optimizing real-time route efficiency, massive network effects creating high switching costs for drivers and riders, and a diversified revenue model reducing reliance on single-segment volatility.
Not financial advice. All content is for informational purposes only. Data may contain errors. Consult a qualified financial advisor before making investment decisions.