Lyft (LYFT) Depreciation & Amortization (CF) (2018 - 2026)
Lyft (LYFT) recorded Depreciation & Amortization (CF) of $38.77 million in Q2 2026, up 26.6% from $30.63 million a year earlier and up 5.8% from the prior quarter.
Lyft (LYFT) Depreciation & Amortization (CF) (2018 - 2026) Analysis & Trends
On a TTM basis, Lyft's Depreciation & Amortization (CF) came in at $146.42 million as of Jun 30, 2026, up 2.4% year-over-year; for FY2025, it was $135.23 million, down 9.2% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $148.89 million in FY2024 (+27.8%), $116.51 million in FY2023 (-24.7%), $154.8 million in FY2022 (+11.1%) and $139.35 million in FY2021 (-11.4%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) since Q3 2024.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for three consecutive quarters, with growth averaging 8.4% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 74.3% in Q4 2022, against a decline of 46.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $36.63 million (Q1 2026), $37.27 million (Q4 2025) and $33.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 7.10 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 6.36 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 100.53 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 7.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 195.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 129.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -418.45 Mn |
| 10 | Lyft | 5.68 Bn | -1.66 Bn | 917.12 Mn | 38.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.77 Mn |
| Mar 31, 2026 | 36.63 Mn |
| Dec 31, 2025 | 37.27 Mn |
| Sep 30, 2025 | 33.76 Mn |
| Jun 30, 2025 | 30.63 Mn |
| Mar 31, 2025 | 33.57 Mn |
| Dec 31, 2024 | 33.70 Mn |
| Sep 30, 2024 | 45.12 Mn |
| Jun 30, 2024 | 37.66 Mn |
| Mar 31, 2024 | 32.41 Mn |
| Dec 31, 2023 | 31.16 Mn |
| Sep 30, 2023 | 29.51 Mn |
| Jun 30, 2023 | 28.61 Mn |
| Mar 31, 2023 | 27.23 Mn |
| Dec 31, 2022 | 58.01 Mn |
| Sep 30, 2022 | 35.88 Mn |
| Jun 30, 2022 | 29.12 Mn |
| Mar 31, 2022 | 31.79 Mn |
| Dec 31, 2021 | 33.28 Mn |
| Sep 30, 2021 | 37.06 Mn |
Lyft Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=LYFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();