The9 (NCTY) Buildings (2009 - 2010)
Analysis
The9 (NCTY) Buildings (2009 - 2010) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,056.92 Bn | 3,814.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,810.97 Bn | 1,513.49 Bn | 49.47 Bn |
| 3 | Netflix | 274.15 Bn | 234.34 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 243.05 Bn | 56.82 Bn | 15.11 Bn |
| 5 | Shopify | 230.06 Bn | 207.24 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.17 Bn | 110.97 Bn | 6.38 Bn |
| 7 | Booking Holdings | 121.90 Bn | 54.95 Bn | - |
| 8 | PDD Holdings | 110.14 Bn | -133.63 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.32 Bn | 65.82 Bn | 1.86 Bn |
| 10 | The9 | 25.31 Mn | 7.11 Mn | 319,000.00 |
API Access
The9 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=NCTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "NCTY", "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=NCTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();