Lyft ROA 2017-2026 | LYFT
Current and historical return on assets (ROA) values for Lyft (LYFT) over the last 10 years. Return on assets can be defined as an indicator of how profitable a company is relative to its total assets. Calculated by dividing a company's operating earnings by its total assets.
| Lyft ROA - Return on Assets Historical Data | |||
|---|---|---|---|
| Date | TTM Net Income | Total Assets | Return on Assets |
| 2026-03-31 | $2.86B | $7.31B | 39.07% |
| 2025-12-31 | $2.84B | $6.50B | 43.74% |
| 2025-09-30 | $0.15B | $5.60B | 2.69% |
| 2025-06-30 | $0.09B | $5.43B | 1.71% |
| 2025-03-31 | $0.06B | $5.34B | 1.09% |
| 2024-12-31 | $0.02B | $5.11B | 0.45% |
| 2024-09-30 | $-0.07B | $4.90B | -1.33% |
| 2024-06-30 | $-0.07B | $4.70B | -1.38% |
| 2024-03-31 | $-0.18B | $4.56B | -4.03% |
| 2023-12-31 | $-0.34B | $4.50B | -7.55% |
| 2023-09-30 | $-0.90B | $4.50B | -20.03% |
| 2023-06-30 | $-1.31B | $4.53B | -28.94% |
| 2023-03-31 | $-1.58B | $4.61B | -34.16% |
| 2022-12-31 | $-1.58B | $4.67B | -33.91% |
| 2022-09-30 | $-1.28B | $4.73B | -27.07% |
| 2022-06-30 | $-0.96B | $4.78B | -20.02% |
| 2022-03-31 | $-0.83B | $4.73B | -17.57% |
| 2021-12-31 | $-1.06B | $4.68B | -22.70% |
| 2021-09-30 | $-1.24B | $4.66B | -26.57% |
| 2021-06-30 | $-1.60B | $4.69B | -34.04% |
| 2021-03-31 | $-1.78B | $4.85B | -36.73% |
| 2020-12-31 | $-1.75B | $5.11B | -34.32% |
| 2020-09-30 | $-1.65B | $5.36B | -30.80% |
| 2020-06-30 | $-1.65B | $5.55B | -29.79% |
| 2020-03-31 | $-1.86B | $5.68B | -32.79% |
| 2019-12-31 | $-2.60B | $5.09B | -51.07% |
| 2019-09-30 | $-2.49B | $4.61B | -54.10% |
| 2019-06-30 | $-2.28B | $3.18B | -71.78% |
| 2019-03-31 | $-1.82B | $1.75B | -103.70% |
| 2018-12-31 | $-0.91B | $0.94B | -96.91% |
| Sector | Industry | Market Cap | Revenue |
|---|---|---|---|
| Computer and Technology | Internet Services | $5.267B | $6.316B |
| Lyft, Inc. is a ride-share company operating a transportation platform that connects passengers with drivers in the US and Canada. Their offerings include an expanded set of transportation modes, such as access to a network of shared bikes and scooters for shorter rides and first-mile and last-mile legs of multimodal trips. They have also added information about nearby public transit routes in select cities to offer riders a robust view of transportation options. Their multimodal platform enables TaaS, which they believe offers a viable alternative to car ownership. | |||
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