Joyy (JOYY) Operating Expenses (2011 - 2026)
Joyy (JOYY) posted Operating Expenses of -$188.2 million for Q2 2026, down 2.64% on a QoQ basis from -$183.4 million in Q1 2026, and down 4.67% year-over-year from -$197.5 million in Q2 2025.
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Joyy (JOYY) Operating Expenses (2011 - 2026) Analysis & Trends
Joyy has reported Operating Expenses for 16 years, with the latest figure at -$188.2 million in Q2 2026.
- On a quarterly basis, Operating Expenses fell 4.67% year-over-year to -$188.2 million in Q2 2026; TTM through Jun 2026 was -$733.7 million, a 37.43% increase from a year earlier, with the FY2025 full-year figure at -$709.1 million, up 41.85% from the prior year.
- Operating Expenses was -$188.2 million for Q2 2026 at Joyy, down from -$183.4 million in the prior quarter.
- The five-year high for Operating Expenses was -$167.2 million in Q1 2025, with the low at -$633.5 million in Q4 2024.
- Average Operating Expenses over 5 years is -$217.1 million, with a median of -$191.8 million recorded in 2023.
- The sharpest annual moves came in 2024 and 2025: Operating Expenses plunged 217.65% in 2024, then jumped 70.35% in 2025.
- Over 5 years, Operating Expenses stood at -$231.2 million in 2022, then advanced by 13.73% to -$199.4 million in 2023, then slumped by 217.65% to -$633.5 million in 2024, then surged by 70.35% to -$187.8 million in 2025, then slipped by 0.23% to -$188.2 million in 2026.
- The last three Operating Expenses figures came in at -$188.2 million (Q2 2026), -$183.4 million (Q1 2026), and -$187.8 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn | 42.03 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | 573.19 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn | -379.21 Mn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | 1.23 Bn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn | 607.66 Mn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn | 1.77 Bn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - | 111.15 Mn |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - | - |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn | -188.24 Mn |
| 10 | Grindr | 2.76 Bn | 2.76 Bn | 103.57 Mn | 105.64 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();