Hello (MOMO) Selling, General & Administrative (2013 - 2026)
Hello (MOMO) reported Selling, General & Administrative of -$13.27 million for the quarter ended Jun 30, 2026, compared with -$12.4 million a year earlier.
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Analysis
Hello (MOMO) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hello's Selling, General & Administrative came in at -$60.51 million; for the year ended Dec 31, 2025, it came in at $65.12 million, down 6.4% from the prior year.
- By year, Selling, General & Administrative came in at $69.55 million in the year ended Dec 31, 2024, -$65.12 million in the year ended Dec 31, 2023, -$69.55 million in the year ended Dec 31, 2022 and -$70.77 million in the year ended Dec 31, 2021.
- Five-year quarterly Selling, General & Administrative spans a low of -$30.22 million in the quarter ended Sep 30, 2021 and a high of -$12.4 million in the quarter ended Jun 30, 2025.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$15.23 million (quarter ended Mar 31, 2026), -$14.59 million (quarter ended Dec 31, 2025) and -$17.42 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Hello | 770.32 Mn | -2.38 Bn | 130.22 Mn | -13.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.27 Mn |
| Mar 31, 2026 | -15.23 Mn |
| Dec 31, 2025 | -14.59 Mn |
| Sep 30, 2025 | -17.42 Mn |
| Jun 30, 2025 | -12.40 Mn |
| Mar 31, 2025 | -19.36 Mn |
| Dec 31, 2024 | -19.68 Mn |
| Sep 30, 2024 | -15.84 Mn |
| Jun 30, 2024 | -16.72 Mn |
| Mar 31, 2024 | -18.20 Mn |
| Dec 31, 2023 | -17.68 Mn |
| Sep 30, 2023 | -15.61 Mn |
| Jun 30, 2023 | -17.21 Mn |
| Mar 31, 2023 | -20.14 Mn |
| Dec 31, 2022 | -20.66 Mn |
| Sep 30, 2022 | -19.11 Mn |
| Jun 30, 2022 | -23.55 Mn |
| Mar 31, 2022 | -25.21 Mn |
| Dec 31, 2021 | -25.93 Mn |
| Sep 30, 2021 | -30.22 Mn |
API Access
Hello Selling, General & Administrative 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=selling-general-and-administrative&ticker=MOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();