Hello (MOMO) EBITDA (2013 - 2026)
Hello (MOMO) posted EBITDA of $38.64 million for the quarter ended Jun 30, 2026, down 34.5% from $58.96 million a year earlier and down 20.1% from the prior quarter.
Hello (MOMO) EBITDA (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Hello was $185.32 million, down 8.4% year-over-year; for the year ended Dec 31, 2025, it came in at $199.88 million, down 8.3% from the prior year.
- Annual EBITDA shows a five-year compound annual growth rate of -13.8% (years ended Dec 2020 to Dec 2025).
- In prior years, Hello's EBITDA was $218.03 million in the year ended Dec 31, 2024 (-35.1%), $335.87 million in the year ended Dec 31, 2023 (+29.6%), $259.1 million in the year ended Dec 31, 2022 and -$329.44 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly EBITDA since the quarter ended Dec 31, 2021.
- On a year-over-year basis, EBITDA increased in two of the last eight quarters, with an average decline of 17.9%.
- The strongest year-over-year quarter for EBITDA in the past five years was the quarter ended Jun 30, 2023, with growth of 61.1%; the weakest was the quarter ended Dec 31, 2024, with a decline of 53.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $48.36 million (quarter ended Mar 31, 2026), $47.4 million (quarter ended Dec 31, 2025) and $50.92 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,128.97 Bn | 3,886.50 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,752.99 Bn | 1,455.51 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 287.74 Bn | 247.94 Bn | 6.52 Bn | 8.60 Bn |
| 4 | Alibaba Group Holding | 252.50 Bn | 66.28 Bn | 15.11 Bn | - |
| 5 | Shopify | 225.12 Bn | 202.31 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 140.46 Bn | 112.26 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 126.28 Bn | 59.33 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 113.83 Bn | -129.94 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 108.37 Bn | 65.87 Bn | 1.86 Bn | 795.06 Mn |
| 10 | Hello | 768.57 Mn | -2.40 Bn | 130.22 Mn | 38.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.64 Mn |
| Mar 31, 2026 | 48.36 Mn |
| Dec 31, 2025 | 47.40 Mn |
| Sep 30, 2025 | 50.92 Mn |
| Jun 30, 2025 | 58.96 Mn |
| Mar 31, 2025 | 43.83 Mn |
| Dec 31, 2024 | 34.33 Mn |
| Sep 30, 2024 | 60.58 Mn |
| Jun 30, 2024 | 60.53 Mn |
| Mar 31, 2024 | 65.91 Mn |
| Dec 31, 2023 | 87.14 Mn |
| Sep 30, 2023 | 87.79 Mn |
| Jun 30, 2023 | 91.73 Mn |
| Mar 31, 2023 | 67.02 Mn |
| Dec 31, 2022 | 62.98 Mn |
| Sep 30, 2022 | 77.10 Mn |
| Jun 30, 2022 | 56.07 Mn |
| Mar 31, 2022 | 60.07 Mn |
| Dec 31, 2021 | -624.72 Mn |
| Sep 30, 2021 | 115.92 Mn |
Hello EBITDA 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=ebitda&ticker=MOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();