Lyft (LYFT) Shares Outstanding (Entity) (2018 - 2026)
Lyft (LYFT) posted Shares Outstanding (Entity) of 378.54 million for Q2 2026, down 9.3% from 417.24 million a year earlier and down 0.3% from the prior quarter.
Lyft (LYFT) Shares Outstanding (Entity) (2018 - 2026) Analysis & Trends
For FY2025, Lyft's Shares Outstanding (Entity) came in at 398.11 million, down 2.7% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior years, Lyft's Shares Outstanding (Entity) was 409.18 million in FY2024 (+6.2%), 385.34 million in FY2023 (+8.6%), 354.73 million in FY2022 (+6.0%) and 334.72 million in FY2021 (+7.2%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) since Q1 2023.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last four quarters, with an average decline of 0.7% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q3 2023, with growth of 9.2%; the weakest was Q1 2026, with a decline of 9.4%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 379.68 million (Q1 2026), 398.11 million (Q4 2025) and 399.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 2.55 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.16 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 751.38 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 335.29 Mn |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 378.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 378.54 Mn |
| Mar 31, 2026 | 379.68 Mn |
| Dec 31, 2025 | 398.11 Mn |
| Sep 30, 2025 | 399.35 Mn |
| Jun 30, 2025 | 417.24 Mn |
| Mar 31, 2025 | 419.05 Mn |
| Dec 31, 2024 | 409.18 Mn |
| Sep 30, 2024 | 412.23 Mn |
| Jun 30, 2024 | 406.51 Mn |
| Mar 31, 2024 | 401.55 Mn |
| Dec 31, 2023 | 385.34 Mn |
| Sep 30, 2023 | 389.31 Mn |
| Jun 30, 2023 | 381.88 Mn |
| Mar 31, 2023 | 373.73 Mn |
| Dec 31, 2022 | 354.73 Mn |
| Sep 30, 2022 | 356.48 Mn |
| Jun 30, 2022 | 350.53 Mn |
| Mar 31, 2022 | 346.56 Mn |
| Dec 31, 2021 | 334.72 Mn |
| Sep 30, 2021 | 337.75 Mn |
Lyft Shares Outstanding (Entity) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=LYFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "LYFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();