Li Auto (LI) Inventory Average (2019 - 2026)
Li Auto (LI) posted Inventory Average of $1.1 billion for Q2 2026, little changed on a QoQ basis from $1.1 billion in Q1 2026, and down 25.78% year-over-year from $1.5 billion in Q2 2025.
Li Auto (LI) Inventory Average (2019 - 2026) Analysis & Trends
Li Auto has reported Inventory Average for 8 years, with the latest figure at $1.1 billion in Q2 2026.
- On a quarterly basis, Inventory Average fell 25.78% year-over-year to $1.1 billion in Q2 2026; TTM through Jun 2026 was $1.1 billion, a 25.78% decrease from a year earlier, with the FY2025 full-year figure at $1.2 billion, up 13.58% from the prior year.
- Inventory Average was $1.1 billion for Q2 2026 at Li Auto, roughly flat from $1.1 billion in the prior quarter.
- The five-year high for Inventory Average was $1.5 billion in Q2 2025, with the low at $277.7 million in Q1 2022.
- Average Inventory Average over 5 years is $1.0 billion, with a median of $1.1 billion recorded in 2026.
- The sharpest annual moves came in 2022 and 2026: Inventory Average jumped 252.66% in 2022, then declined 25.78% in 2026.
- Over 5 years, Inventory Average stood at $866.1 million in 2022, then climbed by 2.79% to $890.2 million in 2023, then advanced by 29.49% to $1.2 billion in 2024, then rose by 3.64% to $1.2 billion in 2025, then slipped by 5.92% to $1.1 billion in 2026.
- The last three Inventory Average figures came in at $1.1 billion (Q2 2026), $1.1 billion (Q1 2026), and $1.2 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 14.09 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | 33.53 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 1.40 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | 16.07 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | 15.77 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | 16.74 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | 1.60 Bn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | 3.99 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 28.55 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | 1.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 1.13 Bn |
| Dec 31, 2025 | 1.19 Bn |
| Sep 30, 2025 | 1.40 Bn |
| Jun 30, 2025 | 1.51 Bn |
| Mar 31, 2025 | 1.27 Bn |
| Dec 31, 2024 | 1.15 Bn |
| Sep 30, 2024 | 1.15 Bn |
| Jun 30, 2024 | 1.41 Bn |
| Mar 31, 2024 | 1.32 Bn |
| Dec 31, 2023 | 890.23 Mn |
| Sep 30, 2023 | 803.24 Mn |
| Jun 30, 2023 | 846.17 Mn |
| Mar 31, 2023 | 934.32 Mn |
| Dec 31, 2022 | 866.08 Mn |
| Sep 30, 2022 | 612.14 Mn |
| Jun 30, 2022 | 375.61 Mn |
| Mar 31, 2022 | 277.69 Mn |
| Dec 31, 2021 | 245.59 Mn |
| Sep 30, 2021 | 207.09 Mn |
Li Auto Inventory Average 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=inventory-average&ticker=LI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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=inventory-average&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();