Lyft (LYFT) Capital Expenditures (2018 - 2026)
Lyft (LYFT) posted Capital Expenditures of $30.3 million for Q2 2026, up 112.1% from $14.29 million a year earlier and up 48.3% from the prior quarter.
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Analysis
Lyft (LYFT) Capital Expenditures (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Lyft was $82.75 million, up 49.5% year-over-year; for FY2025, it was $52.82 million, down 36.7% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- In prior years, Lyft's Capital Expenditures was $83.47 million in FY2024 (-44.3%), $149.82 million in FY2023 (+30.3%), $114.97 million in FY2022 (+45.2%) and $79.18 million in FY2021 (-15.4%).
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures since Q3 2023.
- On a year-over-year basis, Capital Expenditures has increased in each of the last three quarters, with growth averaging 16.9% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q1 2026, with growth of 214.2%; the weakest was Q1 2025, with a decline of 77.7%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $20.42 million (Q1 2026), $18.6 million (Q4 2025) and $13.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 44.92 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 30.12 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 218.64 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 4.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 70.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 76.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | - |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 30.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.30 Mn |
| Mar 31, 2026 | 20.42 Mn |
| Dec 31, 2025 | 18.60 Mn |
| Sep 30, 2025 | 13.43 Mn |
| Jun 30, 2025 | 14.29 Mn |
| Mar 31, 2025 | 6.50 Mn |
| Dec 31, 2024 | 13.42 Mn |
| Sep 30, 2024 | 21.15 Mn |
| Jun 30, 2024 | 19.80 Mn |
| Mar 31, 2024 | 29.11 Mn |
| Dec 31, 2023 | 28.57 Mn |
| Sep 30, 2023 | 32.28 Mn |
| Jun 30, 2023 | 42.18 Mn |
| Mar 31, 2023 | 46.80 Mn |
| Dec 31, 2022 | 32.57 Mn |
| Sep 30, 2022 | 29.09 Mn |
| Jun 30, 2022 | 23.00 Mn |
| Mar 31, 2022 | 30.31 Mn |
| Dec 31, 2021 | 22.50 Mn |
| Sep 30, 2021 | 36.16 Mn |
API Access
Lyft Capital Expenditures 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=capital-expenditures&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();