NetEase (NTES) Divestments (2019 - 2026)
NetEase (NTES) reported Divestments of $195.47 million for the quarter ended Mar 31, 2026, compared with $10.65 million a year earlier and up 121.9% from the prior quarter.
NetEase (NTES) Divestments (2019 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, NetEase's Divestments came in at $308.37 million, up 254.4% year-over-year; for the year ended Dec 31, 2025, it came in at $86.92 million.
- Divestments has a five-year compound annual growth rate of -4.7% (years ended Dec 2020 to Dec 2025).
- By year, Divestments came in at $175.04 million in the year ended Dec 31, 2021 (+58.2%).
- The figure for the quarter ended Mar 31, 2026 ranks as the highest quarterly Divestments in data going back to the quarter ended Mar 31, 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | - |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | - |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | - |
| 10 | NetEase | 74.83 Bn | 32.10 Bn | 3.13 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 195.47 Mn |
| Dec 31, 2025 | 88.07 Mn |
| Mar 31, 2025 | 10.65 Mn |
| Dec 31, 2020 | 14.17 Mn |
| Sep 30, 2020 | 57.41 Mn |
| Jun 30, 2020 | 4.78 Mn |
| Mar 31, 2020 | 28.22 Mn |
| Dec 31, 2019 | 4.01 Mn |
| Sep 30, 2019 | 18.17 Mn |
| Jun 30, 2019 | 6.22 Mn |
| Mar 31, 2019 | 30.90 Mn |
NetEase Divestments 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=divestments&ticker=NTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();