Hello (MOMO) Other Accumulated Expenses (2013 - 2023)
Hello (MOMO) recorded Other Accumulated Expenses of $599,160 in the quarter ended Dec 31, 2023, compared with -$291.56 million a year earlier and up 18.9% from the prior quarter.
Powered by 
Analysis
Hello (MOMO) Other Accumulated Expenses (2013 - 2023) Analysis & Trends
As of Dec 31, 2023, Hello reported Other Accumulated Expenses of -$199.29 million.
- Across earlier years, Other Accumulated Expenses came in at -$300.65 million in the year ended Dec 31, 2022, $787,000 in the year ended Dec 31, 2021 (-73.6%), $2.98 million in the year ended Dec 31, 2020 (-29.9%) and $4.25 million in the year ended Dec 31, 2019 (-64.7%).
- Quarterly Other Accumulated Expenses has ranged from -$424.6 million in the quarter ended Dec 31, 2020 to $8.35 million in the quarter ended Mar 31, 2019 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in two of the last six quarters, with growth averaging 78.6%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 588.0% in the quarter ended Jun 30, 2023, against a decline of 87.9% in the quarter ended Jun 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $504,000 (quarter ended Sep 30, 2023), $1.67 million (quarter ended Jun 30, 2023) and $1.8 million (quarter ended Mar 31, 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | Hello | 770.32 Mn | -2.38 Bn | 130.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 599,160.21 |
| Sep 30, 2023 | 504,000.00 |
| Jun 30, 2023 | 1.67 Mn |
| Mar 31, 2023 | 1.80 Mn |
| Dec 31, 2022 | -291.56 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 242,000.00 |
| Mar 31, 2022 | 766,000.00 |
| Dec 31, 2021 | -407.34 Mn |
| Sep 30, 2021 | 2.29 Mn |
| Jun 30, 2021 | 2.00 Mn |
| Mar 31, 2021 | 1.88 Mn |
| Dec 31, 2020 | -424.60 Mn |
| Sep 30, 2020 | 4.69 Mn |
| Jun 30, 2020 | 2.60 Mn |
| Mar 31, 2020 | 4.89 Mn |
| Dec 31, 2019 | -381.78 Mn |
| Sep 30, 2019 | 4.11 Mn |
| Jun 30, 2019 | 5.82 Mn |
| Mar 31, 2019 | 8.35 Mn |
API Access
Hello Other Accumulated 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-accumulated-expenses&ticker=MOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=MOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();