NetEase (NTES) Total Liabilities (2009 - 2026)
NetEase's Total Liabilities was $8.92 billion in the quarter ended Jun 30, 2026, up 18.4% from $7.53 billion a year earlier but down 0.6% from the prior quarter.
NetEase (NTES) Total Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Liabilities at NetEase came in at $8.07 billion, up 9.9% from the prior year.
- Total Liabilities shows a five-year compound annual growth rate of -2.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Liabilities was $7.34 billion in the year ended Dec 31, 2024 (-10.1%), $8.16 billion in the year ended Dec 31, 2023 (-12.1%), $9.28 billion in the year ended Dec 31, 2022 (+8.8%) and $8.53 billion in the year ended Dec 31, 2021 (-5.5%).
- Quarterly Total Liabilities has moved between $6.6 billion (the quarter ended Sep 30, 2023) and $9.69 billion (the quarter ended Sep 30, 2021) over five years.
- Compared with a year earlier, Total Liabilities has increased for five straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Mar 31, 2026 (growth of 22.9%); the worst was the quarter ended Sep 30, 2023 (a decline of 28.5%).
- Per Business Quant data, NTES's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $8.97 billion (quarter ended Mar 31, 2026), $7.95 billion (quarter ended Dec 31, 2025) and $7.5 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,893.85 Bn | 3,651.37 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,633.93 Bn | 1,336.45 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 271.96 Bn | 233.26 Bn | 6.80 Bn | 29.40 Bn |
| 4 | Alibaba Group Holding | 231.45 Bn | 45.22 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 218.36 Bn | 195.54 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 135.44 Bn | 107.24 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 119.78 Bn | 52.83 Bn | - | 40.47 Bn |
| 8 | Spotify Technology | 119.39 Bn | 76.31 Bn | 1.89 Bn | 6.32 Bn |
| 9 | PDD Holdings | 110.49 Bn | -133.29 Bn | 9.45 Bn | 31.74 Bn |
| 10 | NetEase | 75.68 Bn | 33.93 Bn | 3.13 Bn | 9.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.59 Bn |
| Mar 31, 2026 | 9.65 Bn |
| Dec 31, 2025 | 8.06 Bn |
| Sep 30, 2025 | 8.18 Bn |
| Jun 30, 2025 | 8.21 Bn |
| Mar 31, 2025 | 7.85 Bn |
| Dec 31, 2024 | 7.34 Bn |
| Sep 30, 2024 | 7.52 Bn |
| Jun 30, 2024 | 7.21 Bn |
| Mar 31, 2024 | 9.38 Bn |
| Dec 31, 2023 | 8.15 Bn |
| Sep 30, 2023 | 7.07 Bn |
| Jun 30, 2023 | 7.40 Bn |
| Mar 31, 2023 | 10.13 Bn |
| Dec 31, 2022 | 9.19 Bn |
| Sep 30, 2022 | 9.45 Bn |
| Jun 30, 2022 | 10.05 Bn |
| Mar 31, 2022 | 9.70 Bn |
| Dec 31, 2021 | 8.53 Bn |
| Sep 30, 2021 | 9.89 Bn |
NetEase Total Liabilities 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=total-liabilities&ticker=NTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();