NetEase (NTES) EV to EBITDA (2009 - 2026)
NetEase's (NTES) EV to EBITDA was 11.54 for the quarter ended Jun 30, 2026, down 22.5% from 14.89 a year earlier but up 12.4% from the prior quarter.
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Analysis
NetEase (NTES) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, NetEase's EV to EBITDA came in at 6.29, down 40.0% year-over-year; for the year ended Dec 31, 2025, it came in at 14.42, up 30.3% from the prior year.
- By year, EV to EBITDA came in at 11.07 in the year ended Dec 31, 2024 (-15.4%), 13.09 in the year ended Dec 31, 2023 (-0.1%), 13.10 in the year ended Dec 31, 2022 (-35.8%) and 20.41 in the year ended Dec 31, 2021 (-7.5%).
- Five-year quarterly EV to EBITDA spans a low of 10.27 in the quarter ended Mar 31, 2026 and a high of 20.66 in the quarter ended Dec 31, 2021.
- Year over year, EV to EBITDA gained in three of the last eight quarters, with an average decline of 0.2%.
- The high point for year-over-year EV to EBITDA in five years was the quarter ended Dec 31, 2025 (growth of 36.8%); the low point was the quarter ended Jun 30, 2022 (a decline of 39.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 10.27 (quarter ended Mar 31, 2026), 14.86 (quarter ended Dec 31, 2025) and 16.90 (quarter ended Sep 30, 2025).
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 | 11.54 |
| Mar 31, 2026 | 10.27 |
| Dec 31, 2025 | 14.86 |
| Sep 30, 2025 | 16.90 |
| Jun 30, 2025 | 14.89 |
| Mar 31, 2025 | 11.87 |
| Dec 31, 2024 | 10.86 |
| Sep 30, 2024 | 12.87 |
| Jun 30, 2024 | 13.10 |
| Mar 31, 2024 | 14.04 |
| Dec 31, 2023 | 13.03 |
| Sep 30, 2023 | 15.20 |
| Jun 30, 2023 | 16.12 |
| Mar 31, 2023 | 15.04 |
| Dec 31, 2022 | 12.74 |
| Sep 30, 2022 | 13.15 |
| Jun 30, 2022 | 16.88 |
| Mar 31, 2022 | 17.04 |
| Dec 31, 2021 | 20.66 |
| Sep 30, 2021 | 18.54 |
API Access
NetEase EV to EBITDA 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=ev-to-ebitda&ticker=NTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();