Li Auto (LI) Amortizatization of Intangibles (2021 - 2023)
Li Auto (LI) posted Amortizatization of Intangibles of -$28.7 million for Q2 2023, down 137.43% on a QoQ basis from -$12.1 million in Q1 2023, and down 1.8% year-over-year from -$29.2 million in Q2 2022.
Powered by 
Analysis
Li Auto (LI) Amortizatization of Intangibles (2021 - 2023) Analysis & Trends
Li Auto has reported Amortizatization of Intangibles for 3 years, with the latest figure at -$28.7 million in Q2 2023.
- On a quarterly basis, Amortizatization of Intangibles fell 1.8% year-over-year to -$28.7 million in Q2 2023; TTM through Jun 2023 was -$101.0 million, a 11.61% increase from a year earlier, with the FY2025 full-year figure at -$112.6 million, up 61.11% from the prior year.
- Amortizatization of Intangibles was -$28.7 million for Q2 2023 at Li Auto, down from -$12.1 million in the prior quarter.
- The five-year high for Amortizatization of Intangibles was -$8.4 million in Q1 2021, with the low at -$36.7 million in Q4 2022.
- Average Amortizatization of Intangibles over 3 years is -$25.9 million, with a median of -$27.4 million recorded in 2021.
- The sharpest annual moves came in 2022 and 2023: Amortizatization of Intangibles slumped 196.8% in 2022, then surged 51.75% in 2023.
- Over 3 years, Amortizatization of Intangibles stood at -$26.6 million in 2021, then sank by 37.99% to -$36.7 million in 2022, then increased by 21.91% to -$28.7 million in 2023.
- The last three Amortizatization of Intangibles figures came in at -$28.7 million (Q2 2023), -$12.1 million (Q1 2023), and -$36.7 million (Q4 2022), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | - |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | - |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | - |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | - |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | - |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -28.70 Mn |
| Mar 31, 2023 | -12.09 Mn |
| Dec 31, 2022 | -36.75 Mn |
| Sep 30, 2022 | -23.46 Mn |
| Jun 30, 2022 | -28.19 Mn |
| Mar 31, 2022 | -25.05 Mn |
| Dec 31, 2021 | -26.63 Mn |
| Sep 30, 2021 | -34.39 Mn |
| Jun 30, 2021 | -35.27 Mn |
| Mar 31, 2021 | -8.44 Mn |
API Access
Li Auto Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();