Hello (MOMO) Operating Leases (2019 - 2026)
Hello (MOMO) reported Operating Leases of $3.55 million for the quarter ended Jun 30, 2026, down 55.9% from $8.05 million a year earlier and down 11.8% from the prior quarter.
Hello (MOMO) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Hello posted Operating Leases of $5.72 million, down 63.7% from the prior year.
- Operating Leases has a five-year compound annual growth rate of -22.8% (years ended Dec 2020 to Dec 2025).
- By year, Operating Leases came in at $15.77 million in the year ended Dec 31, 2024 (+114.6%), $7.35 million in the year ended Dec 31, 2023 (+52.3%), $4.83 million in the year ended Dec 31, 2022 (-70.2%) and $16.18 million in the year ended Dec 31, 2021 (-22.6%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Operating Leases since the quarter ended Sep 30, 2020.
- Year over year, Operating Leases has now declined in each of the last five quarters, with growth averaging 1.2% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was the quarter ended Sep 30, 2021 (growth of 878.2%); the low point was the quarter ended Sep 30, 2022 (a decline of 72.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $4.02 million (quarter ended Mar 31, 2026), $5.64 million (quarter ended Dec 31, 2025) and $8.55 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 | 3.55 Mn |
| Mar 31, 2026 | 4.02 Mn |
| Dec 31, 2025 | 5.64 Mn |
| Sep 30, 2025 | 8.55 Mn |
| Jun 30, 2025 | 8.05 Mn |
| Mar 31, 2025 | 12.73 Mn |
| Dec 31, 2024 | 16.02 Mn |
| Sep 30, 2024 | 20.35 Mn |
| Jun 30, 2024 | 21.85 Mn |
| Mar 31, 2024 | 7.27 Mn |
| Dec 31, 2023 | 7.25 Mn |
| Sep 30, 2023 | 9.09 Mn |
| Jun 30, 2023 | 4.29 Mn |
| Mar 31, 2023 | 5.60 Mn |
| Dec 31, 2022 | 4.68 Mn |
| Sep 30, 2022 | 5.99 Mn |
| Jun 30, 2022 | 9.49 Mn |
| Mar 31, 2022 | 13.12 Mn |
| Dec 31, 2021 | 16.13 Mn |
| Sep 30, 2021 | 22.03 Mn |
Hello Operating Leases 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-leases&ticker=MOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=MOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();