Hello (MOMO) Operating Expenses (2013 - 2026)
Hello's Operating Expenses came in at -$333.13 million for the quarter ended Jun 30, 2026, compared with -$310.98 million a year earlier.
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Analysis
Hello (MOMO) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hello reported Operating Expenses of -$1.29 billion; for the year ended Dec 31, 2025, it was -$1.29 billion.
- Going back by year, Operating Expenses was -$1.25 billion in the year ended Dec 31, 2024, -$1.38 billion in the year ended Dec 31, 2023, -$1.61 billion in the year ended Dec 31, 2022 and -$2.69 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Operating Expenses since the quarter ended Dec 31, 2023.
- Business Quant data shows MOMO's Operating Expenses at -$302.8 million (quarter ended Mar 31, 2026), -$325.81 million (quarter ended Dec 31, 2025) and -$324.41 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 | Hello | 799.70 Mn | -2.35 Bn | 130.22 Mn | -333.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -333.13 Mn |
| Mar 31, 2026 | -302.80 Mn |
| Dec 31, 2025 | -325.81 Mn |
| Sep 30, 2025 | -324.41 Mn |
| Jun 30, 2025 | -310.98 Mn |
| Mar 31, 2025 | -307.93 Mn |
| Dec 31, 2024 | -329.87 Mn |
| Sep 30, 2024 | -325.78 Mn |
| Jun 30, 2024 | -313.08 Mn |
| Mar 31, 2024 | -293.62 Mn |
| Dec 31, 2023 | -342.51 Mn |
| Sep 30, 2023 | -337.32 Mn |
| Jun 30, 2023 | -346.91 Mn |
| Mar 31, 2023 | -352.25 Mn |
| Dec 31, 2022 | -397.01 Mn |
| Sep 30, 2022 | -384.37 Mn |
| Jun 30, 2022 | -418.75 Mn |
| Mar 31, 2022 | -444.84 Mn |
| Dec 31, 2021 | -1.21 Bn |
| Sep 30, 2021 | -515.24 Mn |
API Access
Hello 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=MOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MOMO", "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=MOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();