Lyft (LYFT) Property, Plant & Equipment (Net) (2018 - 2026)
Lyft's Property, Plant & Equipment (Net) came in at $430.32 million for Q2 2026, up 7.3% from $401.2 million a year earlier but down 1.9% from the prior quarter.
Lyft (LYFT) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, Lyft's Property, Plant & Equipment (Net) was $418.53 million, down 5.9% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $444.86 million in FY2024 (-4.5%), $465.84 million in FY2023 (+48.6%), $313.4 million in FY2022 (+5.1%) and $298.2 million in FY2021 (-4.8%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $298.2 million (Q4 2021) to $544.45 million (Q1 2024).
- Year-over-year, Property, Plant & Equipment (Net) increased in three of the last eight quarters, with an average decline of 8.0%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2023 (growth of 48.6%), and the weakest in Q2 2025 (a decline of 24.0%).
- Business Quant data shows LYFT's Property, Plant & Equipment (Net) at $438.73 million (Q1 2026), $418.53 million (Q4 2025) and $387.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 321.21 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 225.72 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 2.40 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 46.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 53.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 1.81 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 767.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 700.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 224.34 Mn |
| 10 | Lyft | 5.85 Bn | -1.49 Bn | 917.12 Mn | 430.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 430.32 Mn |
| Mar 31, 2026 | 438.73 Mn |
| Dec 31, 2025 | 418.53 Mn |
| Sep 30, 2025 | 387.41 Mn |
| Jun 30, 2025 | 401.20 Mn |
| Mar 31, 2025 | 415.10 Mn |
| Dec 31, 2024 | 444.86 Mn |
| Sep 30, 2024 | 483.86 Mn |
| Jun 30, 2024 | 528.23 Mn |
| Mar 31, 2024 | 544.45 Mn |
| Dec 31, 2023 | 465.84 Mn |
| Sep 30, 2023 | 476.85 Mn |
| Jun 30, 2023 | 472.42 Mn |
| Mar 31, 2023 | 424.44 Mn |
| Dec 31, 2022 | 313.40 Mn |
| Sep 30, 2022 | 372.75 Mn |
| Jun 30, 2022 | 381.58 Mn |
| Mar 31, 2022 | 313.73 Mn |
| Dec 31, 2021 | 298.20 Mn |
| Sep 30, 2021 | 322.49 Mn |
Lyft Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LYFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();