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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,893.85 Bn | 3,651.37 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,633.93 Bn | 1,336.45 Bn | 49.47 Bn |
| 3 | Netflix | 271.96 Bn | 233.26 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 231.45 Bn | 45.22 Bn | 15.11 Bn |
| 5 | Shopify | 218.36 Bn | 195.54 Bn | 1.71 Bn |
| 6 | Uber Technologies | 135.44 Bn | 107.24 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.78 Bn | 52.83 Bn | - |
| 8 | Spotify Technology | 119.39 Bn | 76.31 Bn | 1.89 Bn |
| 9 | PDD Holdings | 110.49 Bn | -133.29 Bn | 9.45 Bn |
| 10 | NetEase | 75.68 Bn | 33.93 Bn | 3.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 362.17 Mn |
| Dec 31, 2025 | 444.34 Mn |
| Dec 31, 2024 | 433.20 Mn |
| Dec 31, 2023 | 397.18 Mn |
| Dec 31, 2022 | 565.52 Mn |
| Dec 31, 2021 | 195.40 Mn |
| Dec 31, 2020 | 220.89 Mn |
| Mar 31, 2020 | 171.18 Mn |
| Dec 31, 2019 | 239.36 Mn |
| Dec 31, 2018 | 250.65 Mn |
| Dec 31, 2017 | 219.64 Mn |
| Dec 31, 2016 | 99.21 Mn |
| Dec 31, 2015 | 90.59 Mn |
| Dec 31, 2014 | 47.55 Mn |
| Dec 31, 2013 | 26.16 Mn |
| Dec 31, 2012 | 15.17 Mn |
| Dec 31, 2011 | 11.31 Mn |
| Dec 31, 2010 | 5.35 Mn |
| Dec 31, 2009 | 33.06 Mn |
API Access
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_KEYimport 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();