NetEase (NTES) Change in Receivables (2009 - 2026)
NetEase (NTES) posted Change in Receivables of $107.11 million for the quarter ended Jun 30, 2026, down 18.7% from $131.8 million a year earlier.
NetEase (NTES) Change in Receivables (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Receivables at NetEase was -$7.91 million; for the year ended Dec 31, 2025, it came in at -$37.76 million.
- In prior years, NetEase's Change in Receivables was -$98.14 million in the year ended Dec 31, 2024, $207.1 million in the year ended Dec 31, 2023, -$80.37 million in the year ended Dec 31, 2022 and $186.2 million in the year ended Dec 31, 2021 (+129.1%).
- Quarterly Change in Receivables has run from a low of -$190.01 million in the quarter ended Mar 31, 2024 to a high of $194.84 million in the quarter ended Jun 30, 2024 over five years.
- On a year-over-year basis, Change in Receivables increased in two of the last four quarters, with growth averaging 210.7%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was the quarter ended Dec 31, 2024, with growth of 877.7%; the weakest was the quarter ended Jun 30, 2022, with a decline of 85.9%.
- According to Business Quant data, Change in Receivables for the three prior quarters was -$171.63 million (quarter ended Mar 31, 2026), $83.83 million (quarter ended Dec 31, 2025) and -$27.22 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,624.96 Bn | 3,359.86 Bn | 76.16 Bn | 3.92 Bn |
| 2 | Meta Platforms | 1,640.16 Bn | 1,304.68 Bn | 51.23 Bn | 999.00 Mn |
| 3 | Netflix | 255.21 Bn | 216.51 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 219.23 Bn | 41.30 Bn | 15.16 Bn | - |
| 5 | Shopify | 189.29 Bn | 174.44 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 142.08 Bn | 113.28 Bn | 6.42 Bn | 99.00 Mn |
| 7 | AppLovin | 135.54 Bn | 124.07 Bn | 1.94 Bn | 218.46 Mn |
| 8 | Spotify Technology | 126.14 Bn | 83.06 Bn | 1.89 Bn | -223.18 Mn |
| 9 | Booking Holdings | 119.69 Bn | 53.43 Bn | - | 112.00 Mn |
| 10 | NetEase | 78.00 Bn | 36.89 Bn | 3.13 Bn | 107.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.11 Mn |
| Mar 31, 2026 | -171.63 Mn |
| Dec 31, 2025 | 83.83 Mn |
| Sep 30, 2025 | -27.22 Mn |
| Jun 30, 2025 | 131.80 Mn |
| Mar 31, 2025 | -149.80 Mn |
| Dec 31, 2024 | 72.09 Mn |
| Sep 30, 2024 | 20.48 Mn |
| Jun 30, 2024 | 194.84 Mn |
| Mar 31, 2024 | -190.01 Mn |
| Dec 31, 2023 | 7.37 Mn |
| Sep 30, 2023 | -162.82 Mn |
| Jun 30, 2023 | 110.02 Mn |
| Mar 31, 2023 | -163.17 Mn |
| Dec 31, 2022 | 31.52 Mn |
| Sep 30, 2022 | 5.23 Mn |
| Jun 30, 2022 | 12.48 Mn |
| Mar 31, 2022 | 33.41 Mn |
| Dec 31, 2021 | -15.18 Mn |
| Sep 30, 2021 | -182.14 Mn |
NetEase Change in Receivables 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=change-in-receivables&ticker=NTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();