Scienjoy Holding (SJ) Accumulated Expenses (2019 - 2026)
Scienjoy Holding (SJ) reported Accumulated Expenses of $1.23 million for the quarter ended Mar 31, 2026, down 7.1% from $1.32 million a year earlier and down 10.5% from the prior quarter.
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Analysis
Scienjoy Holding (SJ) Accumulated Expenses (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Scienjoy Holding posted Accumulated Expenses of $1.39 million, up 48.5% from the prior year.
- Accumulated Expenses has a five-year compound annual growth rate of -6.0% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $937,000 in the year ended Dec 31, 2024 (-75.9%), $3.89 million in the year ended Dec 31, 2023 (+102.2%), $1.92 million in the year ended Dec 31, 2022 (-24.3%) and $2.54 million in the year ended Dec 31, 2021 (+34.1%).
- Five-year quarterly Accumulated Expenses spans a low of $631,000 in the quarter ended Sep 30, 2025 and a high of $3.83 million in the quarter ended Dec 31, 2023.
- Year over year, Accumulated Expenses gained in three of the last eight quarters, with an average decline of 2.4%.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Dec 31, 2023 (growth of 105.6%); the low point was the quarter ended Dec 31, 2024 (a decline of 75.2%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $1.37 million (quarter ended Dec 31, 2025), $631,000 (quarter ended Sep 30, 2025) and $642,000 (quarter ended Jun 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 1.37 Mn |
| Sep 30, 2025 | 631,000.00 |
| Jun 30, 2025 | 642,000.00 |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 952,235.52 |
| Sep 30, 2024 | 837,000.00 |
| Jun 30, 2024 | 1.13 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 3.83 Mn |
| Sep 30, 2023 | 693,000.00 |
| Jun 30, 2023 | 668,000.00 |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 1.86 Mn |
| Sep 30, 2022 | 1.54 Mn |
| Jun 30, 2022 | 750,000.00 |
| Mar 31, 2022 | 901,000.00 |
| Dec 31, 2021 | 2.53 Mn |
| Sep 30, 2021 | 1.14 Mn |
| Jun 30, 2021 | 1.55 Mn |
API Access
Scienjoy Holding 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=accumulated-expenses&ticker=SJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();