Li Auto (LI) Buildings (2021 - 2022)
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Analysis
Li Auto (LI) Buildings (2021 - 2022) Analysis & Trends
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 Buildings 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=buildings&ticker=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();