DouYu International Holdings (DOYU) Operating Expenses (2018 - 2026)
DouYu International Holdings' Operating Expenses was -$26.58 million in the quarter ended Jun 30, 2026, compared with -$17.83 million a year earlier.
DouYu International Holdings (DOYU) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, DouYu International Holdings' Operating Expenses was -$72.95 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$69.32 million.
- In earlier years, Operating Expenses was -$122.95 million in the year ended Dec 31, 2024, -$119.45 million in the year ended Dec 31, 2023, -$172.39 million in the year ended Dec 31, 2022 and -$272.8 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Operating Expenses since the quarter ended Dec 31, 2024.
- Per Business Quant data, DOYU's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$15.54 million (quarter ended Mar 31, 2026), -$16.2 million (quarter ended Dec 31, 2025) and -$14.63 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 640.46 Mn |
| 10 | DouYu International Holdings | 138.52 Mn | -1.14 Bn | 23.44 Mn | -26.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -26.58 Mn |
| Mar 31, 2026 | -15.54 Mn |
| Dec 31, 2025 | -16.20 Mn |
| Sep 30, 2025 | -14.63 Mn |
| Jun 30, 2025 | -17.83 Mn |
| Mar 31, 2025 | -19.25 Mn |
| Dec 31, 2024 | -34.71 Mn |
| Sep 30, 2024 | -22.09 Mn |
| Jun 30, 2024 | -28.04 Mn |
| Mar 31, 2024 | -38.22 Mn |
| Dec 31, 2023 | -34.75 Mn |
| Sep 30, 2023 | -27.58 Mn |
| Jun 30, 2023 | -27.09 Mn |
| Mar 31, 2023 | -29.67 Mn |
| Dec 31, 2022 | -35.10 Mn |
| Sep 30, 2022 | -36.88 Mn |
| Jun 30, 2022 | -50.70 Mn |
| Mar 31, 2022 | -54.42 Mn |
| Dec 31, 2021 | -70.09 Mn |
| Sep 30, 2021 | -62.50 Mn |
DouYu International Holdings Operating Expenses 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-expenses&ticker=DOYU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DOYU", "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-expenses&ticker=DOYU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();