Li Auto (LI) Change in Property, Plant and Equipment (2020 - 2026)
Li Auto (LI) recorded Change in Property, Plant and Equipment of $193.92 million in Q2 2026, up 72.5% from $112.45 million a year earlier and up 3.1% from the prior quarter.
Li Auto (LI) Change in Property, Plant and Equipment (2020 - 2026) Analysis & Trends
On a TTM basis, Li Auto's Change in Property, Plant and Equipment came in at $745.72 million as of Jun 30, 2026, down 14.0% year-over-year; for FY2025, it was -$415.45 million.
- Across earlier years, Change in Property, Plant and Equipment came in at -$926.09 million in FY2024, -$876.52 million in FY2023, -$742.82 million in FY2022 and -$540.52 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has ranged from -$259.39 million in Q4 2021 to $374.11 million in Q4 2023 over the past five years.
- On a year-over-year basis, Change in Property, Plant and Equipment rose in three of the last eight quarters, with growth averaging 2.0%.
- Peak year-over-year performance for Change in Property, Plant and Equipment in the last five years was growth of 499.9% in Q3 2021, against a decline of 58.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $188.07 million (Q1 2026), $150.69 million (Q4 2025) and $213.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | -4.73 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 372.00 Mn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 115.64 Mn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | -2.29 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 3.69 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 4.90 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | -366.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 307.00 Mn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 2.09 Bn |
| 10 | Li Auto | 12.62 Bn | -36.34 Bn | 417.98 Mn | 193.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193.92 Mn |
| Mar 31, 2026 | 188.07 Mn |
| Dec 31, 2025 | 150.69 Mn |
| Sep 30, 2025 | 213.04 Mn |
| Jun 30, 2025 | 112.45 Mn |
| Mar 31, 2025 | 114.32 Mn |
| Dec 31, 2024 | 359.07 Mn |
| Sep 30, 2024 | 281.13 Mn |
| Jun 30, 2024 | 195.86 Mn |
| Mar 31, 2024 | 237.23 Mn |
| Dec 31, 2023 | 374.11 Mn |
| Sep 30, 2023 | 175.68 Mn |
| Jun 30, 2023 | 234.22 Mn |
| Mar 31, 2023 | 157.62 Mn |
| Dec 31, 2022 | -234.00 Mn |
| Sep 30, 2022 | 203.89 Mn |
| Jun 30, 2022 | 102.78 Mn |
| Mar 31, 2022 | 210.09 Mn |
| Dec 31, 2021 | -259.39 Mn |
| Sep 30, 2021 | 155.90 Mn |
Li Auto Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=LI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();