The9 (NCTY) Selling, General & Administrative (2009 - 2026)
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Analysis
The9 (NCTY) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | NetEase | 74.18 Bn | 64.04 Bn | 3.13 Bn | -118.68 Mn |
| 2 | Electronic Arts | 52.84 Bn | 50.56 Bn | 1.71 Bn | 181.00 Mn |
| 3 | Take Two Interactive Software | 38.42 Bn | 36.59 Bn | 882.50 Mn | 226.30 Mn |
| 4 | Roblox | 34.16 Bn | 31.13 Bn | 1.18 Bn | 199.00 Mn |
| 5 | The9 | 2.85 Bn | 2.85 Bn | 319,000.00 | -5.27 Mn |
| 6 | Playtika Holding | 842.89 Mn | 404.39 Mn | 538.20 Mn | 54.10 Mn |
| 7 | DoubleDown Interactive | 631.81 Mn | 78.25 Mn | 71.22 Mn | -17.04 Mn |
| 8 | Gravity | 481.91 Mn | 481.47 Mn | 34,891.11 | 14,085.63 |
| 9 | Sohu.com | 327.69 Mn | -504.94 Mn | 133.81 Mn | - |
| 10 | Gdev | 201.47 Mn | 119.23 Mn | - | -8.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.27 Mn |
| Mar 31, 2026 | -4.68 Mn |
| Jun 30, 2025 | -4.72 Mn |
| Mar 31, 2025 | -4.57 Mn |
| Dec 31, 2020 | -16.41 Mn |
| Dec 31, 2019 | -16.16 Mn |
| Dec 31, 2018 | -8.90 Mn |
| Dec 31, 2017 | -6.25 Mn |
| Dec 31, 2016 | -12.64 Mn |
| Dec 31, 2015 | -13.25 Mn |
| Dec 31, 2014 | -9.70 Mn |
| Dec 31, 2013 | -5.65 Mn |
| Sep 30, 2013 | -5.41 Mn |
| Jun 30, 2013 | -8.55 Mn |
| Mar 31, 2013 | -6.93 Mn |
| Dec 31, 2012 | -6.27 Mn |
| Sep 30, 2012 | -7.90 Mn |
| Jun 30, 2012 | -7.11 Mn |
| Mar 31, 2012 | -5.82 Mn |
| Dec 31, 2011 | -7.14 Mn |
API Access
The9 Selling, General & Administrative 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=selling-general-and-administrative&ticker=NCTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NCTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();