The9 (NCTY) Price to Earnings (2026)
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Analysis
The9 (NCTY) Price to Earnings (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,893.85 Bn | 3,651.37 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,633.93 Bn | 1,336.45 Bn | 49.47 Bn |
| 3 | Netflix | 271.96 Bn | 233.26 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 231.45 Bn | 45.22 Bn | 15.11 Bn |
| 5 | Shopify | 218.36 Bn | 195.54 Bn | 1.71 Bn |
| 6 | Uber Technologies | 135.44 Bn | 107.24 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.78 Bn | 52.83 Bn | - |
| 8 | Spotify Technology | 119.39 Bn | 76.31 Bn | 1.89 Bn |
| 9 | PDD Holdings | 110.49 Bn | -133.29 Bn | 9.45 Bn |
| 10 | The9 | 23.72 Mn | 5.52 Mn | 319,000.00 |
API Access
The9 Price to Earnings 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=price-to-earnings&ticker=NCTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NCTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();