NetEase (NTES) Inventory (2014 - 2026)
NetEase (NTES) recorded Inventory of $75.44 million in the quarter ended Jun 30, 2026, down 8.6% from $82.51 million a year earlier and down 4.5% from the prior quarter.
NetEase (NTES) Inventory (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, NetEase reported Inventory of $98.55 million, up 25.9% from the prior year.
- Annual Inventory has a five-year compound annual growth rate of 0.7% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Inventory came in at $78.3 million in the year ended Dec 31, 2024 (-20.1%), $97.94 million in the year ended Dec 31, 2023 (-32.0%), $144.06 million in the year ended Dec 31, 2022 (-4.8%) and $151.39 million in the year ended Dec 31, 2021 (+59.0%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Inventory since the quarter ended Mar 31, 2025.
- On a year-over-year basis, Inventory rose in four of the last eight quarters, with an average decline of 1.4%.
- Peak year-over-year performance for Inventory in the last five years was growth of 108.7% in the quarter ended Sep 30, 2021, against a decline of 34.5% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $79 million (quarter ended Mar 31, 2026), $98.51 million (quarter ended Dec 31, 2025) and $89.52 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,624.96 Bn | 3,359.86 Bn | 76.16 Bn | 13.31 Bn |
| 2 | Meta Platforms | 1,640.16 Bn | 1,304.68 Bn | 51.23 Bn | - |
| 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 | - |
| 7 | AppLovin | 135.54 Bn | 124.07 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 126.14 Bn | 83.06 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 119.69 Bn | 53.43 Bn | - | - |
| 10 | NetEase | 78.00 Bn | 36.89 Bn | 3.13 Bn | 75.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.44 Mn |
| Mar 31, 2026 | 79.00 Mn |
| Dec 31, 2025 | 98.51 Mn |
| Sep 30, 2025 | 89.52 Mn |
| Jun 30, 2025 | 82.51 Mn |
| Mar 31, 2025 | 71.29 Mn |
| Dec 31, 2024 | 78.31 Mn |
| Sep 30, 2024 | 87.54 Mn |
| Jun 30, 2024 | 79.05 Mn |
| Mar 31, 2024 | 83.58 Mn |
| Dec 31, 2023 | 97.84 Mn |
| Sep 30, 2023 | 98.90 Mn |
| Jun 30, 2023 | 111.28 Mn |
| Mar 31, 2023 | 127.55 Mn |
| Dec 31, 2022 | 142.70 Mn |
| Sep 30, 2022 | 130.95 Mn |
| Jun 30, 2022 | 125.94 Mn |
| Mar 31, 2022 | 135.72 Mn |
| Dec 31, 2021 | 151.40 Mn |
| Sep 30, 2021 | 160.54 Mn |
NetEase Inventory 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=inventory&ticker=NTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();