NetEase (NTES) Selling, General & Administrative (2009 - 2026)
NetEase (NTES) reported Selling, General & Administrative of -$118.68 million for the quarter ended Jun 30, 2026, compared with -$146.07 million a year earlier.
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Analysis
NetEase (NTES) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, NetEase's Selling, General & Administrative came in at -$521.44 million; for the year ended Dec 31, 2025, it was -$604.62 million.
- By year, Selling, General & Administrative came in at -$623.43 million in the year ended Dec 31, 2024, -$690.13 million in the year ended Dec 31, 2023, -$680.83 million in the year ended Dec 31, 2022 and -$669.04 million in the year ended Dec 31, 2021.
- Five-year quarterly Selling, General & Administrative spans a low of -$206.57 million in the quarter ended Sep 30, 2023 and a high of -$91.91 million in the quarter ended Mar 31, 2026.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$91.91 million (quarter ended Mar 31, 2026), -$148.14 million (quarter ended Dec 31, 2025) and -$162.71 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | NetEase | 74.83 Bn | 32.10 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();