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 | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 31.67 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 6.23 Bn |
| 10 | NetEase | 74.83 Bn | 32.10 Bn | 3.13 Bn | 8.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.92 Bn |
| Mar 31, 2026 | 8.97 Bn |
| Dec 31, 2025 | 7.95 Bn |
| Sep 30, 2025 | 7.50 Bn |
| Jun 30, 2025 | 7.53 Bn |
| Mar 31, 2025 | 7.30 Bn |
| Dec 31, 2024 | 7.46 Bn |
| Sep 30, 2024 | 6.88 Bn |
| Jun 30, 2024 | 6.78 Bn |
| Mar 31, 2024 | 9.03 Bn |
| Dec 31, 2023 | 8.05 Bn |
| Sep 30, 2023 | 6.60 Bn |
| Jun 30, 2023 | 7.11 Bn |
| Mar 31, 2023 | 9.60 Bn |
| Dec 31, 2022 | 9.00 Bn |
| Sep 30, 2022 | 9.24 Bn |
| Jun 30, 2022 | 9.62 Bn |
| Mar 31, 2022 | 9.08 Bn |
| Dec 31, 2021 | 8.50 Bn |
| Sep 30, 2021 | 9.69 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();