Li Auto (LI) EV to EBITDA (2023)
Li Auto's (LI) EV to EBITDA came in at 14.03 for FY2025, up 35.6% from 10.34 in FY2024.
Analysis
Li Auto (LI) EV to EBITDA (2023) Analysis & Trends
- Business Quant data shows LI's EV to EBITDA at 10.34 in FY2024 (-44.4%) and 18.59 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,304.64 Bn | 1,130.67 Bn | 4.75 Bn |
| 2 | General Motors | 78.04 Bn | -26.58 Bn | 9.28 Bn |
| 3 | Ferrari | 71.80 Bn | 64.29 Bn | 1.18 Bn |
| 4 | Ford Motor | 49.88 Bn | -92.62 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.70 Bn | -104.11 Bn | 8.46 Bn |
| 6 | Toyota Motor | 25.55 Bn | -380.95 Bn | 20.95 Bn |
| 7 | Rivian Automotive | 18.92 Bn | -2.80 Bn | 176.00 Mn |
| 8 | Magna International | 18.44 Bn | 12.47 Bn | 1.61 Bn |
| 9 | Stellantis | 13.64 Bn | -147.80 Bn | 3.94 Bn |
| 10 | Li Auto | 11.25 Bn | -37.70 Bn | 417.98 Mn |
API Access
Li Auto EV to EBITDA 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=ev-to-ebitda&ticker=LI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();