Baidu (BIDU) Buildings (2009 - 2010)
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Analysis
Baidu (BIDU) Buildings (2009 - 2010) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.76 Bn | 245.84 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 247.26 Bn | 227.67 Bn | 1.10 Bn |
| 3 | Snowflake | 100.61 Bn | 87.93 Bn | 1.04 Bn |
| 4 | Fortinet | 93.95 Bn | 79.88 Bn | 1.64 Bn |
| 5 | Datadog | 68.23 Bn | 49.87 Bn | 881.34 Mn |
| 6 | Zscaler | 35.73 Bn | 21.85 Bn | - |
| 7 | Axon Enterprise | 34.13 Bn | 28.65 Bn | 546.45 Mn |
| 8 | Okta | 32.47 Bn | 22.57 Bn | 641.00 Mn |
| 9 | MongoDB | 26.59 Bn | 17.06 Bn | 569.77 Mn |
| 10 | Baidu | 2.79 Bn | -72.67 Bn | 1.76 Mn |
API Access
Baidu 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=BIDU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "BIDU", "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=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();