Joyy (JOYY) Other Operating Expenses (2011 - 2026)
Joyy (JOYY) posted Other Operating Expenses of -$87.4 million for Q2 2026, little changed on a QoQ basis from -$87.4 million in Q1 2026, and down 6.91% year-over-year from -$93.9 million in Q2 2025.
Joyy (JOYY) Other Operating Expenses (2011 - 2026) Analysis & Trends
Joyy has reported Other Operating Expenses for 16 years, with the latest figure at -$87.4 million in Q2 2026.
- On a quarterly basis, Other Operating Expenses fell 6.91% year-over-year to -$87.4 million in Q2 2026; TTM through Jun 2026 was -$338.1 million, a 56.02% increase from a year earlier, with the FY2025 full-year figure at $2.3 million, down 61.68% from the prior year.
- Other Operating Expenses was -$87.4 million for Q2 2026 at Joyy, roughly flat from -$87.4 million in the prior quarter.
- The five-year high for Other Operating Expenses was -$72.1 million in Q3 2025, with the low at -$522.0 million in Q4 2024.
- Average Other Operating Expenses over 5 years is -$115.2 million, with a median of -$91.7 million recorded in 2023.
- The sharpest annual moves came in 2024 and 2025: Other Operating Expenses plunged 465.78% in 2024, then surged 82.53% in 2025.
- Over 5 years, Other Operating Expenses stood at -$115.6 million in 2022, then advanced by 20.22% to -$92.3 million in 2023, then slumped by 465.78% to -$522.0 million in 2024, then soared by 82.53% to -$91.2 million in 2025, then gained by 4.17% to -$87.4 million in 2026.
- The last three Other Operating Expenses figures came in at -$87.4 million (Q2 2026), -$87.4 million (Q1 2026), and -$91.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn |
| 10 | Grindr | 2.76 Bn | 2.76 Bn | 103.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -87.39 Mn |
| Mar 31, 2026 | -87.43 Mn |
| Dec 31, 2025 | -91.19 Mn |
| Sep 30, 2025 | -72.07 Mn |
| Jun 30, 2025 | -81.74 Mn |
| Mar 31, 2025 | -81.53 Mn |
| Dec 31, 2024 | -521.98 Mn |
| Sep 30, 2024 | -83.52 Mn |
| Jun 30, 2024 | -88.13 Mn |
| Mar 31, 2024 | -94.64 Mn |
| Dec 31, 2023 | -92.26 Mn |
| Sep 30, 2023 | -92.52 Mn |
| Jun 30, 2023 | -87.21 Mn |
| Mar 31, 2023 | -97.60 Mn |
| Dec 31, 2022 | -115.64 Mn |
| Sep 30, 2022 | -96.84 Mn |
| Jun 30, 2022 | -98.42 Mn |
| Mar 31, 2022 | -104.37 Mn |
| Dec 31, 2021 | -112.58 Mn |
| Sep 30, 2021 | -106.28 Mn |
Joyy Other 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=other-operating-expenses&ticker=JOYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=JOYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();