Scienjoy Holding (SJ) Operating Expenses (2019 - 2026)
Scienjoy Holding's Operating Expenses was -$5.48 million in the quarter ended Mar 31, 2026, compared with -$5.9 million a year earlier.
Powered by 
Analysis
Scienjoy Holding (SJ) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Scienjoy Holding's Operating Expenses was -$23.97 million through Mar 31, 2026; for the year ended Dec 31, 2025, it came in at -$23.99 million.
- In earlier years, Operating Expenses was -$22.89 million in the year ended Dec 31, 2024, -$21.32 million in the year ended Dec 31, 2023, -$18.64 million in the year ended Dec 31, 2022 and -$21.73 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 marks the highest quarterly Operating Expenses since the quarter ended Jun 30, 2024.
- Per Business Quant data, SJ's Operating Expenses in the three quarters before the quarter ended Mar 31, 2026 was -$6.49 million (quarter ended Dec 31, 2025), -$6.36 million (quarter ended Sep 30, 2025) and -$5.64 million (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Scienjoy Holding | 28.83 Mn | -145.81 Mn | 7.27 Mn | -5.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -5.48 Mn |
| Dec 31, 2025 | -6.49 Mn |
| Sep 30, 2025 | -6.36 Mn |
| Jun 30, 2025 | -5.64 Mn |
| Mar 31, 2025 | -5.90 Mn |
| Dec 31, 2024 | -7.91 Mn |
| Sep 30, 2024 | -9.12 Mn |
| Jun 30, 2024 | -4.97 Mn |
| Mar 31, 2024 | -5.93 Mn |
| Dec 31, 2023 | -5.31 Mn |
| Sep 30, 2023 | -7.73 Mn |
| Jun 30, 2023 | -5.37 Mn |
| Mar 31, 2023 | -5.12 Mn |
| Dec 31, 2022 | -4.02 Mn |
| Sep 30, 2022 | -5.14 Mn |
| Jun 30, 2022 | -5.60 Mn |
| Mar 31, 2022 | -5.72 Mn |
| Dec 31, 2021 | -8.28 Mn |
| Sep 30, 2021 | -4.86 Mn |
| Jun 30, 2021 | -5.29 Mn |
API Access
Scienjoy Holding Operating 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=operating-expenses&ticker=SJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();