Hello (MOMO) Other Operating Expenses (2013 - 2026)
Hello (MOMO) recorded Other Operating Expenses of $1.82 million in the quarter ended Jun 30, 2026, up 20.0% from $1.52 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Hello (MOMO) Other Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Hello's Other Operating Expenses came in at $5.56 million as of Jun 30, 2026, down 26.8% year-over-year; for the year ended Dec 31, 2025, it was $5.38 million, down 34.5% from the prior year.
- Across earlier years, Other Operating Expenses came in at $8.21 million in the year ended Dec 31, 2024, -$195.72 million in the year ended Dec 31, 2023, -$182.18 million in the year ended Dec 31, 2022 and -$199.29 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Other Operating Expenses since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Other Operating Expenses rose in three of the last seven quarters, with an average decline of 12.7%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 83.0% in the quarter ended Sep 30, 2023, against a decline of 82.9% in the quarter ended Sep 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.81 million (quarter ended Mar 31, 2026), $1.39 million (quarter ended Dec 31, 2025) and $540,000 (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 | Hello | 789.90 Mn | -2.36 Bn | 130.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.82 Mn |
| Mar 31, 2026 | 1.81 Mn |
| Dec 31, 2025 | 1.39 Mn |
| Sep 30, 2025 | 540,000.00 |
| Jun 30, 2025 | 1.52 Mn |
| Mar 31, 2025 | 1.82 Mn |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | 3.17 Mn |
| Jun 30, 2024 | 1.22 Mn |
| Mar 31, 2024 | 2.76 Mn |
| Dec 31, 2023 | -42.92 Mn |
| Sep 30, 2023 | 5.48 Mn |
| Jun 30, 2023 | 3.16 Mn |
| Mar 31, 2023 | -55.30 Mn |
| Dec 31, 2022 | -59.02 Mn |
| Sep 30, 2022 | 2.99 Mn |
| Jun 30, 2022 | 6.06 Mn |
| Mar 31, 2022 | 3.78 Mn |
| Dec 31, 2021 | 6.05 Mn |
| Sep 30, 2021 | 3.29 Mn |
API Access
Hello 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=MOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();