Joyy (JOYY) Operating Expenses (2011 - 2026)
Joyy's Operating Expenses was -$188.24 million in the quarter ended Jun 30, 2026, compared with -$179.85 million a year earlier.
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Analysis
Joyy (JOYY) Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Joyy's Operating Expenses was -$733.69 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was -$709.13 million.
- In earlier years, Operating Expenses was -$1.22 billion in the year ended Dec 31, 2024, -$787.74 million in the year ended Dec 31, 2023, -$818.9 million in the year ended Dec 31, 2022 and -$969.92 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, JOYY's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$183.41 million (quarter ended Mar 31, 2026), -$187.82 million (quarter ended Dec 31, 2025) and -$174.22 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Joyy | 4.41 Bn | 1.76 Bn | 201.60 Mn | -188.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -188.24 Mn |
| Mar 31, 2026 | -183.41 Mn |
| Dec 31, 2025 | -187.82 Mn |
| Sep 30, 2025 | -174.22 Mn |
| Jun 30, 2025 | -179.85 Mn |
| Mar 31, 2025 | -167.25 Mn |
| Dec 31, 2024 | -633.48 Mn |
| Sep 30, 2024 | -191.96 Mn |
| Jun 30, 2024 | -198.67 Mn |
| Mar 31, 2024 | -195.42 Mn |
| Dec 31, 2023 | -199.43 Mn |
| Sep 30, 2023 | -191.26 Mn |
| Jun 30, 2023 | -191.71 Mn |
| Mar 31, 2023 | -205.34 Mn |
| Dec 31, 2022 | -231.15 Mn |
| Sep 30, 2022 | -202.21 Mn |
| Jun 30, 2022 | -184.97 Mn |
| Mar 31, 2022 | -200.56 Mn |
| Dec 31, 2021 | -168.23 Mn |
| Sep 30, 2021 | -208.68 Mn |
API Access
Joyy 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=JOYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "JOYY", "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=JOYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();