Brp (DOO) Buildings (2020)
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Analysis
Brp (DOO) Buildings (2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn |
| 10 | Brp | 4.83 Bn | 3.19 Bn | 188.27 Mn |
API Access
Brp 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=DOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "DOO", "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=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();