NetEase (NTES) Selling, General & Administrative (2009 - 2026)
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Analysis
NetEase (NTES) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,624.96 Bn | 3,359.86 Bn | 76.16 Bn | 6.14 Bn |
| 2 | Meta Platforms | 1,640.16 Bn | 1,304.68 Bn | 51.23 Bn | 14.86 Bn |
| 3 | Netflix | 255.21 Bn | 216.51 Bn | 6.80 Bn | 466.37 Mn |
| 4 | Alibaba Group Holding | 219.23 Bn | 41.30 Bn | 15.16 Bn | 1.87 Bn |
| 5 | Shopify | 189.29 Bn | 174.44 Bn | 1.78 Bn | 130.00 Mn |
| 6 | Uber Technologies | 142.08 Bn | 113.28 Bn | 6.42 Bn | 1.05 Bn |
| 7 | AppLovin | 135.54 Bn | 124.07 Bn | 1.94 Bn | 64.46 Mn |
| 8 | Spotify Technology | 126.14 Bn | 83.06 Bn | 1.89 Bn | 165.66 Mn |
| 9 | Booking Holdings | 119.69 Bn | 53.43 Bn | - | 338.00 Mn |
| 10 | NetEase | 78.00 Bn | 36.89 Bn | 3.13 Bn | 118.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.68 Mn |
| Mar 31, 2026 | 91.91 Mn |
| Dec 31, 2025 | 148.14 Mn |
| Sep 30, 2025 | 162.71 Mn |
| Jun 30, 2025 | 146.07 Mn |
| Mar 31, 2025 | 131.56 Mn |
| Dec 31, 2024 | 161.82 Mn |
| Sep 30, 2024 | 153.53 Mn |
| Jun 30, 2024 | 150.77 Mn |
| Mar 31, 2024 | 167.32 Mn |
| Dec 31, 2023 | 173.87 Mn |
| Sep 30, 2023 | 206.57 Mn |
| Jun 30, 2023 | 161.64 Mn |
| Mar 31, 2023 | 149.34 Mn |
| Dec 31, 2022 | 183.20 Mn |
| Sep 30, 2022 | 184.85 Mn |
| Jun 30, 2022 | 168.75 Mn |
| Mar 31, 2022 | 160.04 Mn |
| Dec 31, 2021 | 181.73 Mn |
| Sep 30, 2021 | 176.27 Mn |
API Access
NetEase 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=NTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NTES", "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=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();