NetEase (NTES) Other Accumulated Expenses (2009 - 2026)
NetEase's Other Accumulated Expenses was $73.96 million in the quarter ended Jun 30, 2026, up 19.6% from $61.87 million a year earlier and up 16.7% from the prior quarter.
NetEase (NTES) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Other Accumulated Expenses at NetEase came in at $155.37 million, up 88.4% from the prior year.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 6.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Other Accumulated Expenses was $82.49 million in the year ended Dec 31, 2024 (-44.4%), $148.4 million in the year ended Dec 31, 2023 (+20.9%), $122.78 million in the year ended Dec 31, 2022 (+10.1%) and $111.48 million in the year ended Dec 31, 2021 (-1.3%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Other Accumulated Expenses since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Other Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 2.2%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was the quarter ended Dec 31, 2023 (growth of 229.3%); the worst was the quarter ended Dec 31, 2025 (a decline of 84.4%).
- Per Business Quant data, NTES's Other Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $63.38 million (quarter ended Mar 31, 2026), $68.5 million (quarter ended Dec 31, 2025) and $21.4 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | NetEase | 74.83 Bn | 32.10 Bn | 3.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.96 Mn |
| Mar 31, 2026 | 63.38 Mn |
| Dec 31, 2025 | 68.50 Mn |
| Sep 30, 2025 | 21.40 Mn |
| Jun 30, 2025 | 61.87 Mn |
| Mar 31, 2025 | 35.12 Mn |
| Dec 31, 2024 | 440.14 Mn |
| Sep 30, 2024 | 45.09 Mn |
| Jun 30, 2024 | 38.62 Mn |
| Mar 31, 2024 | 27.11 Mn |
| Dec 31, 2023 | 392.04 Mn |
| Sep 30, 2023 | 85.56 Mn |
| Jun 30, 2023 | 54.09 Mn |
| Mar 31, 2023 | 37.72 Mn |
| Dec 31, 2022 | 119.07 Mn |
| Sep 30, 2022 | 73.38 Mn |
| Jun 30, 2022 | 51.18 Mn |
| Mar 31, 2022 | 34.09 Mn |
| Dec 31, 2021 | 111.12 Mn |
| Sep 30, 2021 | 63.87 Mn |
NetEase Other 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=other-accumulated-expenses&ticker=NTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();