NetEase (NTES) Accumulated Expenses (2009 - 2026)
NetEase (NTES) reported Accumulated Expenses of $2.29 billion for the quarter ended Jun 30, 2026, up 15.9% from $1.97 billion a year earlier and up 2.2% from the prior quarter.
Powered by 
Analysis
NetEase (NTES) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, NetEase posted Accumulated Expenses of $2.28 billion, up 17.0% from the prior year.
- Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 16.3% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $1.95 billion in the year ended Dec 31, 2024 (+9.2%), $1.78 billion in the year ended Dec 31, 2023 (+10.7%), $1.61 billion in the year ended Dec 31, 2022 (+13.8%) and $1.42 billion in the year ended Dec 31, 2021 (+31.9%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Accumulated Expenses in data going back to the quarter ended Mar 31, 2009.
- Year over year, Accumulated Expenses has now increased in each of the last 27 quarters, with growth averaging 14.3% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 3.3% (the quarter ended Jun 30, 2023) and 31.9% (the quarter ended Dec 31, 2021) over the last five years.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.24 billion (quarter ended Mar 31, 2026), $2.28 billion (quarter ended Dec 31, 2025) and $2.14 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,624.96 Bn | 3,359.86 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,640.16 Bn | 1,304.68 Bn | 51.23 Bn |
| 3 | Netflix | 255.21 Bn | 216.51 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 219.23 Bn | 41.30 Bn | 15.16 Bn |
| 5 | Shopify | 189.29 Bn | 174.44 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.08 Bn | 113.28 Bn | 6.42 Bn |
| 7 | AppLovin | 135.54 Bn | 124.07 Bn | 1.94 Bn |
| 8 | Spotify Technology | 126.14 Bn | 83.06 Bn | 1.89 Bn |
| 9 | Booking Holdings | 119.69 Bn | 53.43 Bn | - |
| 10 | NetEase | 78.00 Bn | 36.89 Bn | 3.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.29 Bn |
| Mar 31, 2026 | 2.24 Bn |
| Dec 31, 2025 | 2.28 Bn |
| Sep 30, 2025 | 2.14 Bn |
| Jun 30, 2025 | 1.97 Bn |
| Mar 31, 2025 | 1.90 Bn |
| Dec 31, 2024 | 1.95 Bn |
| Sep 30, 2024 | 1.89 Bn |
| Jun 30, 2024 | 1.70 Bn |
| Mar 31, 2024 | 1.78 Bn |
| Dec 31, 2023 | 1.78 Bn |
| Sep 30, 2023 | 1.60 Bn |
| Jun 30, 2023 | 1.49 Bn |
| Mar 31, 2023 | 1.58 Bn |
| Dec 31, 2022 | 1.60 Bn |
| Sep 30, 2022 | 1.46 Bn |
| Jun 30, 2022 | 1.45 Bn |
| Mar 31, 2022 | 1.43 Bn |
| Dec 31, 2021 | 1.42 Bn |
| Sep 30, 2021 | 1.26 Bn |
API Access
NetEase Accumulated 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=accumulated-expenses&ticker=NTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();