Yalla (YALA) Operating Expenses (2019 - 2026)
Yalla's Operating Expenses was -$63.2 million in the quarter ended Jun 30, 2026, compared with -$53.95 million a year earlier.
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Analysis
Yalla (YALA) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Yalla's Operating Expenses was -$231.85 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$219.72 million.
- In earlier years, Operating Expenses was -$218.27 million in the year ended Dec 31, 2024, -$222.52 million in the year ended Dec 31, 2023, -$224.91 million in the year ended Dec 31, 2022 and -$190.11 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 Sep 30, 2020.
- Per Business Quant data, YALA's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$55.55 million (quarter ended Mar 31, 2026), -$57.24 million (quarter ended Dec 31, 2025) and -$55.87 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Yalla | 1.54 Bn | -1.08 Bn | 55.81 Mn | -63.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -63.20 Mn |
| Mar 31, 2026 | -55.55 Mn |
| Dec 31, 2025 | -57.24 Mn |
| Sep 30, 2025 | -55.87 Mn |
| Jun 30, 2025 | -53.95 Mn |
| Mar 31, 2025 | -52.67 Mn |
| Dec 31, 2024 | -60.69 Mn |
| Sep 30, 2024 | -56.42 Mn |
| Jun 30, 2024 | -51.58 Mn |
| Mar 31, 2024 | -49.58 Mn |
| Dec 31, 2023 | -57.64 Mn |
| Sep 30, 2023 | -52.79 Mn |
| Jun 30, 2023 | -55.31 Mn |
| Mar 31, 2023 | -56.78 Mn |
| Dec 31, 2022 | -60.11 Mn |
| Sep 30, 2022 | -55.58 Mn |
| Jun 30, 2022 | -55.15 Mn |
| Mar 31, 2022 | -54.07 Mn |
| Dec 31, 2021 | -49.29 Mn |
| Sep 30, 2021 | -45.57 Mn |
API Access
Yalla 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=YALA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=YALA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();