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.
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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 | 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 15.96 Mn |
| Dec 31, 2024 | 23.89 Mn |
| Dec 31, 2023 | 36.04 Mn |
| Dec 31, 2022 | 36.42 Mn |
| Dec 31, 2021 | 52.30 Mn |
| Dec 31, 2020 | 49.92 Mn |
| Mar 31, 2020 | 33.62 Mn |
| Dec 31, 2019 | 39.72 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_KEYimport 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();