NetEase (NTES) Operating Expenses (2009 - 2026)
NetEase's Operating Expenses was -$1.35 billion in the quarter ended Jun 30, 2026, compared with -$1.24 billion a year earlier.
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Analysis
NetEase (NTES) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, NetEase's Operating Expenses was -$5.32 billion through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$5.23 billion.
- In earlier years, Operating Expenses was -$4.96 billion in the year ended Dec 31, 2024, -$4.98 billion in the year ended Dec 31, 2023, -$4.8 billion in the year ended Dec 31, 2022 and -$4.79 billion in the year ended Dec 31, 2021.
- Quarterly Operating Expenses has moved between -$1.42 billion (the quarter ended Sep 30, 2025) and -$1.11 billion (the quarter ended Mar 31, 2025) over five years.
- Per Business Quant data, NTES's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$1.24 billion (quarter ended Mar 31, 2026), -$1.32 billion (quarter ended Dec 31, 2025) and -$1.42 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,890.87 Bn | 3,648.40 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,637.40 Bn | 1,339.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 270.40 Bn | 231.70 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 231.40 Bn | 53.61 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 218.48 Bn | 195.66 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 136.01 Bn | 107.99 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Spotify Technology | 120.19 Bn | 77.10 Bn | 1.89 Bn | 645.39 Mn |
| 8 | Booking Holdings | 117.09 Bn | 50.14 Bn | - | 4.85 Bn |
| 9 | PDD Holdings | 112.51 Bn | -131.27 Bn | 9.45 Bn | -5.39 Bn |
| 10 | NetEase | 75.72 Bn | 34.62 Bn | 3.13 Bn | -1.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.35 Bn |
| Mar 31, 2026 | -1.24 Bn |
| Dec 31, 2025 | -1.32 Bn |
| Sep 30, 2025 | -1.42 Bn |
| Jun 30, 2025 | -1.24 Bn |
| Mar 31, 2025 | -1.11 Bn |
| Dec 31, 2024 | -1.18 Bn |
| Sep 30, 2024 | -1.30 Bn |
| Jun 30, 2024 | -1.25 Bn |
| Mar 31, 2024 | -1.31 Bn |
| Dec 31, 2023 | -1.38 Bn |
| Sep 30, 2023 | -1.30 Bn |
| Jun 30, 2023 | -1.19 Bn |
| Mar 31, 2023 | -1.12 Bn |
| Dec 31, 2022 | -1.24 Bn |
| Sep 30, 2022 | -1.32 Bn |
| Jun 30, 2022 | -1.21 Bn |
| Mar 31, 2022 | -1.15 Bn |
| Dec 31, 2021 | -1.30 Bn |
| Sep 30, 2021 | -1.24 Bn |
API Access
NetEase Operating Expenses 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=operating-expenses&ticker=NTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();