Lyft (LYFT) Revenue (2018 - 2026)
Lyft (LYFT) reported Revenue of $1.84 billion for Q2 2026, up 16.1% from $1.59 billion a year earlier and up 11.7% from the prior quarter.
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Analysis
Lyft (LYFT) Revenue (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lyft's Revenue came in at $6.77 billion, up 10.8% year-over-year; for FY2025, it was $6.32 billion, up 9.2% from FY2024.
- Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- By year, Revenue came in at $5.79 billion in FY2024 (+31.4%), $4.4 billion in FY2023 (+7.5%), $4.1 billion in FY2022 (+27.6%) and $3.21 billion in FY2021 (+35.7%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q1 2018.
- Year over year, Revenue has now increased in each of the last 21 quarters, with growth averaging 15.7% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 2.7% (Q4 2025) and 73.0% (Q3 2021) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.65 billion (Q1 2026), $1.59 billion (Q4 2025) and $1.69 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 16.56 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.92 Bn |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 1.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.84 Bn |
| Mar 31, 2026 | 1.65 Bn |
| Dec 31, 2025 | 1.59 Bn |
| Sep 30, 2025 | 1.69 Bn |
| Jun 30, 2025 | 1.59 Bn |
| Mar 31, 2025 | 1.45 Bn |
| Dec 31, 2024 | 1.55 Bn |
| Sep 30, 2024 | 1.52 Bn |
| Jun 30, 2024 | 1.44 Bn |
| Mar 31, 2024 | 1.28 Bn |
| Dec 31, 2023 | 1.22 Bn |
| Sep 30, 2023 | 1.16 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 1.00 Bn |
| Dec 31, 2022 | 1.17 Bn |
| Sep 30, 2022 | 1.05 Bn |
| Jun 30, 2022 | 990.75 Mn |
| Mar 31, 2022 | 875.58 Mn |
| Dec 31, 2021 | 969.93 Mn |
| Sep 30, 2021 | 864.41 Mn |
API Access
Lyft Revenue 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=revenue&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();