NetEase (NTES) EBITDA (2009 - 2026)
NetEase's EBITDA was $1.84 billion in the quarter ended Jun 30, 2026, up 40.2% from $1.31 billion a year earlier but down 2.6% from the prior quarter.
NetEase (NTES) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, NetEase's EBITDA was $6.21 billion through Jun 30, 2026, up 22.5% year-over-year; for the year ended Dec 31, 2025, it came in at $5.45 billion, up 24.2% from the prior year.
- EBITDA has now increased for seven consecutive years, with a five-year compound annual growth rate of 14.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, EBITDA was $4.38 billion in the year ended Dec 31, 2024 (+1.2%), $4.33 billion in the year ended Dec 31, 2023 (+32.9%), $3.26 billion in the year ended Dec 31, 2022 (+5.5%) and $3.09 billion in the year ended Dec 31, 2021 (+12.0%).
- Quarterly EBITDA has moved between $708.09 million (the quarter ended Sep 30, 2021) and $1.89 billion (the quarter ended Mar 31, 2026) over five years.
- Compared with a year earlier, EBITDA has increased for seven straight quarters, with growth averaging 18.7% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was the quarter ended Dec 31, 2023 (growth of 42.9%); the worst was the quarter ended Dec 31, 2022 (a decline of 14.1%).
- Per Business Quant data, NTES's EBITDA in the three quarters before the quarter ended Jun 30, 2026 was $1.89 billion (quarter ended Mar 31, 2026), $1.27 billion (quarter ended Dec 31, 2025) and $1.21 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 4.29 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 | 495.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 2.63 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 | 348.71 Mn |
| 10 | NetEase | 74.83 Bn | 32.10 Bn | 3.13 Bn | 1.84 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.84 Bn |
| Mar 31, 2026 | 1.89 Bn |
| Dec 31, 2025 | 1.27 Bn |
| Sep 30, 2025 | 1.21 Bn |
| Jun 30, 2025 | 1.31 Bn |
| Mar 31, 2025 | 1.50 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.07 Bn |
| Jun 30, 2024 | 1.05 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.05 Bn |
| Sep 30, 2023 | 1.13 Bn |
| Jun 30, 2023 | 960.02 Mn |
| Mar 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 731.51 Mn |
| Sep 30, 2022 | 797.62 Mn |
| Jun 30, 2022 | 842.46 Mn |
| Mar 31, 2022 | 988.41 Mn |
| Dec 31, 2021 | 851.53 Mn |
| Sep 30, 2021 | 708.09 Mn |
NetEase 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=ebitda&ticker=NTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=NTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();