Nio (NIO) Buildings (2022)
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Analysis
Nio (NIO) Buildings (2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,290.96 Bn | 1,116.99 Bn | 4.75 Bn |
| 2 | General Motors | 77.08 Bn | -27.53 Bn | 9.28 Bn |
| 3 | Ferrari | 75.15 Bn | 67.64 Bn | 1.18 Bn |
| 4 | Ford Motor | 49.34 Bn | -85.08 Bn | 7.38 Bn |
| 5 | Honda Motor | 45.53 Bn | -104.28 Bn | 8.46 Bn |
| 6 | Toyota Motor | 25.55 Bn | -375.27 Bn | 20.95 Bn |
| 7 | Rivian Automotive | 19.18 Bn | -2.54 Bn | 176.00 Mn |
| 8 | Magna International | 17.73 Bn | 11.71 Bn | 1.63 Bn |
| 9 | Stellantis | 13.16 Bn | -148.28 Bn | 3.94 Bn |
| 10 | Nio | 7.25 Bn | -16.46 Bn | 870.51 Mn |
API Access
Nio 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=NIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "NIO", "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=NIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();