Scienjoy Holding (SJ) Other Non-Current Liabilities (2019 - 2023)
Scienjoy Holding's Other Non-Current Liabilities came in at $837,000 for the quarter ended Sep 30, 2023, compared with $62,000 a year earlier.
Scienjoy Holding (SJ) Other Non-Current Liabilities (2019 - 2023) Analysis & Trends
As of Dec 31, 2022, Scienjoy Holding's Other Non-Current Liabilities was $2.79 million, up 67.4% from the prior year.
- Other Non-Current Liabilities carries a three-year compound annual growth rate of 81.7% (years ended Dec 2019 to Dec 2022).
- Going back by year, Other Non-Current Liabilities was $1.67 million in the year ended Dec 31, 2021 (-63.2%), $4.53 million in the year ended Dec 31, 2020 (+872.9%) and $465,641 in the year ended Dec 31, 2019.
- The five-year range for quarterly Other Non-Current Liabilities is $2,000 (the quarter ended Jun 30, 2023) to $46.26 million (the quarter ended Dec 31, 2020).
- Year-over-year, Other Non-Current Liabilities increased in 1 of the last seven quarters, with an average decline of 64.1%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in the quarter ended Dec 31, 2022 (growth of 73.1%), and the weakest in the quarter ended Jun 30, 2023 (a decline of 99.4%).
- Business Quant data shows SJ's Other Non-Current Liabilities at $2,000 (quarter ended Jun 30, 2023), $306,000 (quarter ended Mar 31, 2023) and $2.79 million (quarter ended Dec 31, 2022) in the three quarters before the quarter ended Sep 30, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Scienjoy Holding | 29.66 Mn | -144.98 Mn | 7.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 837,000.00 |
| Jun 30, 2023 | 2,000.00 |
| Mar 31, 2023 | 306,000.00 |
| Dec 31, 2022 | 2.79 Mn |
| Sep 30, 2022 | 62,000.00 |
| Jun 30, 2022 | 330,000.00 |
| Mar 31, 2022 | 910,000.00 |
| Dec 31, 2021 | 1.61 Mn |
| Sep 30, 2021 | 790,000.00 |
| Jun 30, 2021 | 2.49 Mn |
| Mar 31, 2021 | 4.65 Mn |
| Dec 31, 2020 | 46.26 Mn |
| Sep 30, 2020 | 16.29 Mn |
| Jun 30, 2020 | 15.00 Mn |
| Dec 31, 2019 | 465,641.00 |
| Sep 30, 2019 | 465,641.00 |
| Jun 30, 2019 | 466,472.00 |
| Mar 31, 2019 | 415,641.00 |
Scienjoy Holding Other Non-Current Liabilities 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-non-current-liabilities&ticker=SJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "SJ", "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-non-current-liabilities&ticker=SJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();