NetEase (NTES) Total Liabilities (2009 - 2026)
NetEase's Total Liabilities was $9.6 billion in the quarter ended Jun 30, 2026, up 16.8% from $8.21 billion a year earlier but down 0.5% 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 $7.07 billion (the quarter ended Sep 30, 2023) and $10.13 billion (the quarter ended Mar 31, 2023) over five years.
- Compared with a year earlier, Total Liabilities has increased for five straight quarters, with growth averaging 6.5% 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 Jun 30, 2023 (a decline of 26.4%).
- Per Business Quant data, NTES's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $9.65 billion (quarter ended Mar 31, 2026), $8.06 billion (quarter ended Dec 31, 2025) and $8.18 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,624.96 Bn | 3,359.86 Bn | 76.16 Bn | 325.76 Bn |
| 2 | Meta Platforms | 1,640.16 Bn | 1,304.68 Bn | 51.23 Bn | 206.45 Bn |
| 3 | Netflix | 255.21 Bn | 216.51 Bn | 6.80 Bn | 29.40 Bn |
| 4 | Alibaba Group Holding | 219.23 Bn | 41.30 Bn | 15.16 Bn | 126.13 Bn |
| 5 | Shopify | 189.29 Bn | 174.44 Bn | 1.78 Bn | 1.92 Bn |
| 6 | Uber Technologies | 142.08 Bn | 113.28 Bn | 6.42 Bn | 42.49 Bn |
| 7 | AppLovin | 135.54 Bn | 124.07 Bn | 1.94 Bn | 5.28 Bn |
| 8 | Spotify Technology | 126.14 Bn | 83.06 Bn | 1.89 Bn | 6.32 Bn |
| 9 | Booking Holdings | 119.69 Bn | 53.43 Bn | - | 38.67 Bn |
| 10 | NetEase | 78.00 Bn | 36.89 Bn | 3.13 Bn | 9.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.60 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();