Li Auto (LI) Property, Plant & Equipment (Net) (2019 - 2026)
Li Auto (LI) recorded Property, Plant & Equipment (Net) of $3.37 billion in Q2 2026, up 9.7% from $3.08 billion a year earlier and up 6.6% from the prior quarter.
Li Auto (LI) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Li Auto reported Property, Plant & Equipment (Net) of $3.26 billion, up 12.4% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for five straight years, with a five-year compound annual growth rate of 53.7% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $2.9 billion in FY2024 (+30.6%), $2.22 billion in FY2023 (+36.7%), $1.62 billion in FY2022 (+129.8%) and $705.88 million in FY2021 (+85.8%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $579.58 million in Q3 2021 to $3.4 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for 21 consecutive quarters, with growth averaging 18.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 1.0% (Q1 2025) to 159.6% (Q2 2022).
- Per Business Quant, the preceding three quarters came in at $3.17 billion (Q1 2026), $3.26 billion (Q4 2025) and $3.4 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 50.59 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 54.80 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 2.45 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 41.55 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 22.93 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 108.95 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 5.61 Bn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 8.78 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 53.43 Bn |
| 10 | Li Auto | 12.62 Bn | -36.34 Bn | 417.98 Mn | 3.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.37 Bn |
| Mar 31, 2026 | 3.17 Bn |
| Dec 31, 2025 | 3.26 Bn |
| Sep 30, 2025 | 3.40 Bn |
| Jun 30, 2025 | 3.08 Bn |
| Mar 31, 2025 | 2.84 Bn |
| Dec 31, 2024 | 2.90 Bn |
| Sep 30, 2024 | 3.04 Bn |
| Jun 30, 2024 | 2.92 Bn |
| Mar 31, 2024 | 2.81 Bn |
| Dec 31, 2023 | 2.22 Bn |
| Sep 30, 2023 | 1.87 Bn |
| Jun 30, 2023 | 1.79 Bn |
| Mar 31, 2023 | 1.86 Bn |
| Dec 31, 2022 | 1.61 Bn |
| Sep 30, 2022 | 1.32 Bn |
| Jun 30, 2022 | 1.10 Bn |
| Mar 31, 2022 | 804.25 Mn |
| Dec 31, 2021 | 705.93 Mn |
| Sep 30, 2021 | 579.58 Mn |
Li Auto 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=LI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "LI", "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=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();