Hello (MOMO) Enterprise Value (2014 - 2026)
Hello (MOMO) reported Enterprise Value of -$43.67 million for the quarter ended Jun 30, 2026, compared with $555.89 million a year earlier.
Hello (MOMO) Enterprise Value (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hello's Enterprise Value came in at -$2.2 billion; for the year ended Dec 31, 2025, it was $340.84 million, down 31.5% from the prior year.
- Enterprise Value has declined for three consecutive years, with a five-year compound annual growth rate of -24.3% (years ended Dec 2020 to Dec 2025).
- By year, Enterprise Value came in at $497.69 million in the year ended Dec 31, 2024 (-12.6%), $569.16 million in the year ended Dec 31, 2023 (-50.8%), $1.16 billion in the year ended Dec 31, 2022 (+87.8%) and $616.33 million in the year ended Dec 31, 2021 (-55.0%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Enterprise Value since the quarter ended Mar 31, 2025.
- The high point for year-over-year Enterprise Value in five years was the quarter ended Dec 31, 2022 (growth of 22.2%); the low point was the quarter ended Jun 30, 2024 (a decline of 66.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $135.79 million (quarter ended Mar 31, 2026), $330.41 million (quarter ended Dec 31, 2025) and $676.47 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | Hello | 799.70 Mn | -2.35 Bn | 130.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -43.67 Mn |
| Mar 31, 2026 | 135.79 Mn |
| Dec 31, 2025 | 330.41 Mn |
| Sep 30, 2025 | 676.47 Mn |
| Jun 30, 2025 | 555.89 Mn |
| Mar 31, 2025 | -355.66 Mn |
| Dec 31, 2024 | 484.47 Mn |
| Sep 30, 2024 | -154.55 Mn |
| Jun 30, 2024 | 465.22 Mn |
| Mar 31, 2024 | -228.84 Mn |
| Dec 31, 2023 | 758.78 Mn |
| Sep 30, 2023 | 771.25 Mn |
| Jun 30, 2023 | 1.38 Bn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 1.29 Bn |
| Sep 30, 2022 | -709.88 Mn |
| Jun 30, 2022 | -787.87 Mn |
| Mar 31, 2022 | -83.35 Mn |
| Dec 31, 2021 | 1.05 Bn |
| Sep 30, 2021 | 774.99 Mn |
Hello Enterprise Value 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=enterprise-value&ticker=MOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();