Joyy (JOYY) Accumulated Expenses (2011 - 2026)
Joyy's Accumulated Expenses was $651.86 million in the quarter ended Jun 30, 2026, up 22.1% from $533.76 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Joyy (JOYY) Accumulated Expenses (2011 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Joyy came in at $626.68 million, down 73.8% from the prior year.
- Accumulated Expenses shows a five-year compound annual growth rate of 5.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $2.39 billion in the year ended Dec 31, 2024 (+0.5%), $2.38 billion in the year ended Dec 31, 2023 (+0.9%), $2.36 billion in the year ended Dec 31, 2022 (+0.6%) and $2.35 billion in the year ended Dec 31, 2021 (+384.2%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with an average decline of 33.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Sep 30, 2021 (growth of 343.0%); the worst was the quarter ended Jun 30, 2025 (a decline of 77.4%).
- Per Business Quant data, JOYY's Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $636.86 million (quarter ended Mar 31, 2026), $626.68 million (quarter ended Dec 31, 2025) and $575.53 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,152.00 Bn | 3,909.52 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,747.69 Bn | 1,450.21 Bn | 49.47 Bn |
| 3 | Netflix | 292.64 Bn | 252.84 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 248.07 Bn | 61.84 Bn | 15.11 Bn |
| 5 | Shopify | 223.61 Bn | 200.79 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.99 Bn | 111.79 Bn | 6.38 Bn |
| 7 | Booking Holdings | 125.96 Bn | 59.01 Bn | - |
| 8 | PDD Holdings | 113.61 Bn | -130.16 Bn | 9.45 Bn |
| 9 | Spotify Technology | 107.24 Bn | 64.74 Bn | 1.86 Bn |
| 10 | Joyy | 4.45 Bn | 1.80 Bn | 201.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 651.86 Mn |
| Mar 31, 2026 | 636.86 Mn |
| Dec 31, 2025 | 626.68 Mn |
| Sep 30, 2025 | 575.53 Mn |
| Jun 30, 2025 | 533.76 Mn |
| Mar 31, 2025 | 584.91 Mn |
| Dec 31, 2024 | 2.39 Bn |
| Sep 30, 2024 | 2.38 Bn |
| Jun 30, 2024 | 2.36 Bn |
| Mar 31, 2024 | 2.39 Bn |
| Dec 31, 2023 | 2.38 Bn |
| Sep 30, 2023 | 2.34 Bn |
| Jun 30, 2023 | 2.33 Bn |
| Mar 31, 2023 | 2.38 Bn |
| Dec 31, 2022 | 2.36 Bn |
| Sep 30, 2022 | 2.32 Bn |
| Jun 30, 2022 | 2.30 Bn |
| Mar 31, 2022 | 2.33 Bn |
| Dec 31, 2021 | 2.35 Bn |
| Sep 30, 2021 | 2.36 Bn |
API Access
Joyy Accumulated 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=accumulated-expenses&ticker=JOYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=JOYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();