NetEase (NTES) Price to Earnings (2009 - 2026)
NetEase's Price to Earnings came in at 18.39 for the quarter ended Jun 30, 2026, up 1.1% from 18.19 a year earlier and up 20.0% from the prior quarter.
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Analysis
NetEase (NTES) Price to Earnings (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, NetEase's Price to Earnings was 18.89, up 37.8% from the prior year.
- Going back by year, Price to Earnings was 13.71 in the year ended Dec 31, 2024 (-4.4%), 14.35 in the year ended Dec 31, 2023 (-9.4%), 15.84 in the year ended Dec 31, 2022 (-35.8%) and 24.67 in the year ended Dec 31, 2021 (-35.6%).
- The five-year range for quarterly Price to Earnings is 13.67 (the quarter ended Dec 31, 2024) to 30.56 (the quarter ended Sep 30, 2021).
- Year-over-year, Price to Earnings has increased for five consecutive quarters, with growth averaging 8.4% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in the quarter ended Dec 31, 2025 (growth of 38.5%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 51.9%).
- Business Quant data shows NTES's Price to Earnings at 15.32 (quarter ended Mar 31, 2026), 18.94 (quarter ended Dec 31, 2025) and 19.34 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 |
|---|---|
| Jun 30, 2026 | 18.39 |
| Mar 31, 2026 | 15.32 |
| Dec 31, 2025 | 18.94 |
| Sep 30, 2025 | 19.34 |
| Jun 30, 2025 | 18.19 |
| Mar 31, 2025 | 14.54 |
| Dec 31, 2024 | 13.67 |
| Sep 30, 2024 | 15.69 |
| Jun 30, 2024 | 15.35 |
| Mar 31, 2024 | 15.66 |
| Dec 31, 2023 | 14.37 |
| Sep 30, 2023 | 16.98 |
| Jun 30, 2023 | 16.85 |
| Mar 31, 2023 | 17.15 |
| Dec 31, 2022 | 15.45 |
| Sep 30, 2022 | 14.71 |
| Jun 30, 2022 | 21.25 |
| Mar 31, 2022 | 22.39 |
| Dec 31, 2021 | 25.48 |
| Sep 30, 2021 | 30.56 |
API Access
NetEase Price to Earnings 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=price-to-earnings&ticker=NTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();