Lyft (LYFT) Cash & Equivalents (2018 - 2026)
Lyft (LYFT) posted Cash & Equivalents of $1.14 billion for Q2 2026, up 24.5% from $913.85 million a year earlier and up 10.0% from the prior quarter.
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Analysis
Lyft (LYFT) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Lyft's Cash & Equivalents came in at $1.13 billion, up 49.1% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 28.8% (FY2020 to FY2025).
- In prior years, Lyft's Cash & Equivalents was $759.32 million in FY2024 (+35.9%), $558.64 million in FY2023 (+98.7%), $281.09 million in FY2022 (-38.5%) and $457.33 million in FY2021 (+43.0%).
- Quarterly Cash & Equivalents has run from a low of $143.72 million in Q3 2022 to a high of $1.31 billion in Q3 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last eight quarters, with growth averaging 45.0% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2023, with growth of 310.9%; the weakest was Q3 2022, with a decline of 80.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.03 billion (Q1 2026), $1.13 billion (Q4 2025) and $1.31 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 19.00 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 3.05 Bn |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 1.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 1.13 Bn |
| Sep 30, 2025 | 1.31 Bn |
| Jun 30, 2025 | 913.85 Mn |
| Mar 31, 2025 | 985.49 Mn |
| Dec 31, 2024 | 759.32 Mn |
| Sep 30, 2024 | 770.30 Mn |
| Jun 30, 2024 | 604.36 Mn |
| Mar 31, 2024 | 507.92 Mn |
| Dec 31, 2023 | 558.64 Mn |
| Sep 30, 2023 | 590.54 Mn |
| Jun 30, 2023 | 638.43 Mn |
| Mar 31, 2023 | 509.58 Mn |
| Dec 31, 2022 | 281.09 Mn |
| Sep 30, 2022 | 143.72 Mn |
| Jun 30, 2022 | 239.30 Mn |
| Mar 31, 2022 | 214.87 Mn |
| Dec 31, 2021 | 457.33 Mn |
| Sep 30, 2021 | 728.38 Mn |
API Access
Lyft Cash & Equivalents 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=cash-and-equivalents&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();