Yalla (YALA) Accumulated Expenses (2018 - 2026)
Yalla (YALA) reported Accumulated Expenses of $25.36 million for the quarter ended Jun 30, 2026, up 15.6% from $21.94 million a year earlier and up 24.4% from the prior quarter.
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Analysis
Yalla (YALA) Accumulated Expenses (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Yalla posted Accumulated Expenses of $30.35 million, down 6.3% from the prior year.
- Accumulated Expenses has a five-year compound annual growth rate of 37.6% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $32.4 million in the year ended Dec 31, 2024 (+25.8%), $25.77 million in the year ended Dec 31, 2023 (+12.9%), $22.82 million in the year ended Dec 31, 2022 (+53.2%) and $14.9 million in the year ended Dec 31, 2021 (+142.3%).
- Five-year quarterly Accumulated Expenses spans a low of $10.48 million in the quarter ended Mar 31, 2022 and a high of $33.74 million in the quarter ended Sep 30, 2024.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 7.2%.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Dec 31, 2021 (growth of 142.3%); the low point was the quarter ended Sep 30, 2025 (a decline of 16.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $20.39 million (quarter ended Mar 31, 2026), $30.35 million (quarter ended Dec 31, 2025) and $28.03 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Yalla | 1.51 Bn | -1.12 Bn | 55.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.36 Mn |
| Mar 31, 2026 | 20.39 Mn |
| Dec 31, 2025 | 30.35 Mn |
| Sep 30, 2025 | 28.03 Mn |
| Jun 30, 2025 | 21.94 Mn |
| Mar 31, 2025 | 19.88 Mn |
| Dec 31, 2024 | 32.40 Mn |
| Sep 30, 2024 | 33.74 Mn |
| Jun 30, 2024 | 25.13 Mn |
| Mar 31, 2024 | 18.17 Mn |
| Dec 31, 2023 | 25.77 Mn |
| Sep 30, 2023 | 24.02 Mn |
| Jun 30, 2023 | 24.25 Mn |
| Mar 31, 2023 | 16.95 Mn |
| Dec 31, 2022 | 22.82 Mn |
| Sep 30, 2022 | 17.74 Mn |
| Jun 30, 2022 | 14.12 Mn |
| Mar 31, 2022 | 10.48 Mn |
| Dec 31, 2021 | 14.90 Mn |
| Sep 30, 2021 | 11.29 Mn |
API Access
Yalla 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=YALA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "YALA", "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=YALA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();