NetEase (NTES) Operating Leases (2019 - 2025)
NetEase's Operating Leases came in at $15.96 million for the quarter ended Dec 31, 2025, down 33.2% from $23.89 million a year earlier.
Analysis
NetEase (NTES) Operating Leases (2019 - 2025) Analysis & Trends
As of Dec 31, 2025, NetEase's Operating Leases was $16.19 million, down 31.1% from the prior year.
- Operating Leases has declined in each of the last five years, with a five-year compound annual growth rate of -26.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Leases was $23.51 million in the year ended Dec 31, 2024 (-35.7%), $36.55 million in the year ended Dec 31, 2023 (-2.7%), $37.56 million in the year ended Dec 31, 2022 (-28.4%) and $52.48 million in the year ended Dec 31, 2021 (-27.9%).
- The figure for the quarter ended Dec 31, 2025 represents the lowest quarterly Operating Leases in data going back to the quarter ended Dec 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,893.85 Bn | 3,651.37 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,633.93 Bn | 1,336.45 Bn | 49.47 Bn |
| 3 | Netflix | 271.96 Bn | 233.26 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 231.45 Bn | 45.22 Bn | 15.11 Bn |
| 5 | Shopify | 218.36 Bn | 195.54 Bn | 1.71 Bn |
| 6 | Uber Technologies | 135.44 Bn | 107.24 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.78 Bn | 52.83 Bn | - |
| 8 | Spotify Technology | 119.39 Bn | 76.31 Bn | 1.89 Bn |
| 9 | PDD Holdings | 110.49 Bn | -133.29 Bn | 9.45 Bn |
| 10 | NetEase | 75.68 Bn | 33.93 Bn | 3.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 33.18 Mn |
| Dec 31, 2024 | 56.54 Mn |
| Dec 31, 2023 | 78.21 Mn |
| Dec 31, 2022 | 96.60 Mn |
| Dec 31, 2021 | 114.90 Mn |
| Dec 31, 2020 | 72.81 Mn |
| Mar 31, 2020 | 39.85 Mn |
| Dec 31, 2019 | 40.07 Mn |
API Access
NetEase Operating Leases 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=operating-leases&ticker=NTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();